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jonatasgrosman/exp_w2v2t_zh-cn_vp-nl_s423
90f11c052bfa988b9fb648f259503f1075c8cf2c
2022-07-10T02:20:52.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-nl_s423
2
null
transformers
26,900
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-nl_s423 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s762
0040898ba44701a790e7555fd7afd3e0213ee378
2022-07-10T02:23:54.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s762
2
null
transformers
26,901
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-sat_s762 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s840
f89406c446658522a6be90fbfed540f9c9ab5600
2022-07-10T02:26:50.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s840
2
null
transformers
26,902
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-sat_s840 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s496
145ddbcf2f14655daf390a2f6faa4dc7076ad4c1
2022-07-10T02:30:39.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-sat_s496
2
null
transformers
26,903
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-sat_s496 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s108
888707bd7d76ee6101db4f163089af884e37aa7d
2022-07-10T02:33:57.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s108
2
null
transformers
26,904
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xls-r_s108 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s847
2356b483499fed44dd7fecf67b23615435b60702
2022-07-10T02:37:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s847
2
null
transformers
26,905
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xls-r_s847 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s904
f0b95de4d2bd91179373b194ec504648bd7eddfc
2022-07-10T02:40:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xls-r_s904
2
null
transformers
26,906
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xls-r_s904 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s79
76224be426507485c632920b39a6459c16d68403
2022-07-10T02:44:23.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s79
2
null
transformers
26,907
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_r-wav2vec2_s79 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s387
5cbf6598cba80e2476ae51e20422abff65cd5132
2022-07-10T02:47:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s387
2
null
transformers
26,908
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_r-wav2vec2_s387 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s607
73c361366488a757abbb00d56b17d76a72faae24
2022-07-10T02:53:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s607
2
null
transformers
26,909
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-it_s607 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s42
770e41bef33a1c44008523cc65aba6f82ad8a28a
2022-07-10T02:57:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s42
2
null
transformers
26,910
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-it_s42 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s132
e4911fb2148c31f97eae4c40556d9fdbaddf1acd
2022-07-10T03:00:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-it_s132
2
null
transformers
26,911
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-it_s132 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wav2vec2_s417
fd706bffeb208898666d69bbcc5e396c6f483ec1
2022-07-10T03:23:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wav2vec2_s417
2
null
transformers
26,912
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wav2vec2_s417 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wav2vec2_s226
15b7e1f701888109dc99a6f806e372f2a5f8b532
2022-07-10T03:44:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wav2vec2_s226
2
null
transformers
26,913
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wav2vec2_s226 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wav2vec2_s156
3fb1da09a3351684d31eec8c464eee46afc03381
2022-07-10T04:02:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wav2vec2_s156
2
null
transformers
26,914
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wav2vec2_s156 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-100k_s842
50ff05cf4950d1c3318ce6b2060fa9b7005a2c79
2022-07-10T04:10:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-100k_s842
2
null
transformers
26,915
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-100k_s842 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-100k_s615
de527a3f9a44d780b866242034e4002671bb1181
2022-07-10T04:20:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-100k_s615
2
null
transformers
26,916
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-100k_s615 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-100k_s764
273d58af9e5cc8b212c210c6bb14d2e3f784ff61
2022-07-10T04:30:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-100k_s764
2
null
transformers
26,917
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-100k_s764 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xlsr-53_s449
cb0aa2551fcdfa5f2bb6890fed6d274e23a25a22
2022-07-10T04:39:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xlsr-53_s449
2
null
transformers
26,918
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xlsr-53_s449 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xlsr-53_s149
16c5693201d85bca5b94de286a33a771b48040b6
2022-07-10T04:50:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xlsr-53_s149
2
null
transformers
26,919
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xlsr-53_s149 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xlsr-53_s358
2e8cba28439cfa199a2292fd83fbc0be8270a264
2022-07-10T05:00:23.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xlsr-53_s358
2
null
transformers
26,920
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xlsr-53_s358 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech_s791
8f7c1df7f670ad3016cff026577fafeff0429944
2022-07-10T05:17:03.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech_s791
2
null
transformers
26,921
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech_s791 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech_s1
f469fa2a2bde5036d7a635aa7eb9357e7f6cf820
2022-07-10T05:30:27.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech_s1
2
null
transformers
26,922
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech_s1 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech_s149
3f30c6bad2608f95a8540213fc2fe24bc43c4ca8
2022-07-10T05:42:13.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech_s149
2
null
transformers
26,923
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech_s149 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_hubert_s213
6c779aa701081da0d5584c70dc29e101fed40979
2022-07-10T05:54:47.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_hubert_s213
2
null
transformers
26,924
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_hubert_s213 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_hubert_s784
27c7087a2d32ba960c093becd2ad32407ec538c8
2022-07-10T06:09:35.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_hubert_s784
2
null
transformers
26,925
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_hubert_s784 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_hubert_s246
9b6dd8a4e544a31052c2dc60cae2538ddaef7ba4
2022-07-10T06:24:49.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_hubert_s246
2
null
transformers
26,926
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_hubert_s246 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-sv_s331
2b15014caa433ab5df3281ea96e7d7870fed46de
2022-07-10T06:38:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-sv_s331
2
null
transformers
26,927
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-sv_s331 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-sv_s363
004d00354fc58383f5c569835b7db4290e251215
2022-07-10T06:47:57.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-sv_s363
2
null
transformers
26,928
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-sv_s363 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-sv_s116
66a3fc10f7d6a87256243bef028d9305f84db98f
2022-07-10T06:57:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-sv_s116
2
null
transformers
26,929
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-sv_s116 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_no-pretraining_s861
ea94a60a63c78aaab4908804a188145ee6ff9316
2022-07-10T07:08:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_no-pretraining_s861
2
null
transformers
26,930
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_no-pretraining_s861 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_no-pretraining_s934
bd3a9f188289c127db731ab7da191d6e6f4ea0c8
2022-07-10T07:17:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_no-pretraining_s934
2
null
transformers
26,931
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_no-pretraining_s934 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_no-pretraining_s724
57986b9bcad7dc9272e1130c3ce7ad1888471e96
2022-07-10T07:27:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_no-pretraining_s724
2
null
transformers
26,932
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_no-pretraining_s724 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wavlm_s557
6321f66973f1fb2f809ba50e1b02f478c6463345
2022-07-10T07:38:34.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wavlm_s557
2
null
transformers
26,933
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wavlm_s557 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wavlm_s579
f0819e3e9fd685c3494ff995fe967baac9318d00
2022-07-10T07:49:30.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wavlm_s579
2
null
transformers
26,934
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wavlm_s579 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_wavlm_s821
507e8a00246ba11ab2314699664e350f760743ea
2022-07-10T08:00:42.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_wavlm_s821
2
null
transformers
26,935
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_wavlm_s821 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s621
68205940b126efe93e419823b2058d1bbd4c90ba
2022-07-10T08:09:21.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s621
2
null
transformers
26,936
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-ml_s621 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s325
232e867f44936cf4b566e9a62a8e261aba5bc77f
2022-07-10T08:18:06.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s325
2
null
transformers
26,937
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-ml_s325 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s418
6c8b4a02daef50ec8d2cc126b740e3947449b758
2022-07-10T08:30:13.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-ml_s418
2
null
transformers
26,938
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-ml_s418 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-fr_s222
0d8aeaf71d2452f59fd8eb4b971129df298afa5c
2022-07-10T08:33:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-fr_s222
2
null
transformers
26,939
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-fr_s222 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-fr_s335
c06cdde1fb791d736d3e7a36ca30424d7afdff35
2022-07-10T08:36:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-fr_s335
2
null
transformers
26,940
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-fr_s335 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-fr_s27
0bbf20220e267f5613d5a62f646c87109536bcf4
2022-07-10T08:39:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-fr_s27
2
null
transformers
26,941
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-fr_s27 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-es_s920
09bdf1a406e8f55de4e407d433984e44c57da186
2022-07-10T08:42:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-es_s920
2
null
transformers
26,942
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-es_s920 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-es_s425
89e7d18c2c14113708c5df6f68f117ec2e807cb5
2022-07-10T08:45:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-es_s425
2
null
transformers
26,943
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-es_s425 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-es_s632
75643dc44cd82106639574271435aaeae9871891
2022-07-10T08:48:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-es_s632
2
null
transformers
26,944
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-es_s632 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-nl_s496
c14d471428435811ae87262c853f3f5dd512aa7e
2022-07-10T08:51:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-nl_s496
2
null
transformers
26,945
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-nl_s496 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-nl_s33
2a2e041b6e8f541aa2e0ca7898297a0fb199136b
2022-07-10T08:54:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-nl_s33
2
null
transformers
26,946
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-nl_s33 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-nl_s878
0a9dfb324e9da45a43ab0783b7bd4600815d0124
2022-07-10T08:57:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-nl_s878
2
null
transformers
26,947
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-nl_s878 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s782
260b7495ff0652cfd23d2f4b8e268c8a4d642759
2022-07-10T09:00:38.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s782
2
null
transformers
26,948
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-sat_s782 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s287
2d2df284a37adb6ec9787ed8e163907e76a5c855
2022-07-10T09:03:43.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s287
2
null
transformers
26,949
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-sat_s287 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s477
a9e0932aacbd4a8bc6d2b63fd724c9a7f2a838ce
2022-07-10T09:06:39.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_unispeech-sat_s477
2
null
transformers
26,950
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_unispeech-sat_s477 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xls-r_s324
6d2ff4cc83284cfc5d9a3e83340f24e5f876b10b
2022-07-10T09:09:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xls-r_s324
2
null
transformers
26,951
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xls-r_s324 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xls-r_s965
844fafa8ebdcccca8e9bc9b65624e37ef611c264
2022-07-10T09:13:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xls-r_s965
2
null
transformers
26,952
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xls-r_s965 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_xls-r_s411
5dd76a7cbc8b0bbda1a428ef5bf820d07ed5e5d2
2022-07-10T09:16:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_xls-r_s411
2
null
transformers
26,953
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_xls-r_s411 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s79
42c7e8bcebb33789d0eebbea2bd19493733f6e32
2022-07-10T09:18:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s79
2
null
transformers
26,954
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_r-wav2vec2_s79 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s387
6f2ed14a4778654b6cd9b318193ac76fdd178bc3
2022-07-10T09:22:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s387
2
null
transformers
26,955
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_r-wav2vec2_s387 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s237
bf5244828a3ef4de6fad23272aa3e8b5b4465c8d
2022-07-10T09:24:56.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_r-wav2vec2_s237
2
null
transformers
26,956
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_r-wav2vec2_s237 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-it_s609
740b7fbbf3ee17fd1f86d44705e3c1ea4d19e0e7
2022-07-10T09:29:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-it_s609
2
null
transformers
26,957
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-it_s609 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-it_s211
6b4798eb5665af821014538c2ace84141f25e2a3
2022-07-10T09:32:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-it_s211
2
null
transformers
26,958
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-it_s211 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_id_vp-it_s692
059f7d84dbbaf74d0192668fb6deb8ee28c36b63
2022-07-10T09:43:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "id", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_id_vp-it_s692
2
null
transformers
26,959
--- language: - id license: apache-2.0 tags: - automatic-speech-recognition - id datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_id_vp-it_s692 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (id)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
huggingtweets/bardissimo
da44029cf4981b639a8268237f9a0e59e8e2c68e
2022-07-10T09:55:39.000Z
[ "pytorch", "gpt2", "text-generation", "en", "transformers", "huggingtweets" ]
text-generation
false
huggingtweets
null
huggingtweets/bardissimo
2
null
transformers
26,960
--- language: en thumbnail: http://www.huggingtweets.com/bardissimo/1657446903598/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1864403542/-1_400x400.jpg&#39;)"> </div> <div style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)"> </div> <div style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)"> </div> </div> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div> <div style="text-align: center; font-size: 16px; font-weight: 800">Alexander Bard</div> <div style="text-align: center; font-size: 14px;">@bardissimo</div> </div> I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets). Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)! ## How does it work? The model uses the following pipeline. ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true) To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI). ## Training data The model was trained on tweets from Alexander Bard. | Data | Alexander Bard | | --- | --- | | Tweets downloaded | 3221 | | Retweets | 626 | | Short tweets | 23 | | Tweets kept | 2572 | [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2yokf106/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline. ## Training procedure The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @bardissimo's tweets. Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/yymc0teo) for full transparency and reproducibility. At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/yymc0teo/artifacts) is logged and versioned. ## How to use You can use this model directly with a pipeline for text generation: ```python from transformers import pipeline generator = pipeline('text-generation', model='huggingtweets/bardissimo') generator("My dream is", num_return_sequences=5) ``` ## Limitations and bias The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias). In addition, the data present in the user's tweets further affects the text generated by the model. ## About *Built by Boris Dayma* [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
jonatasgrosman/exp_w2v2t_de_wav2vec2_s982
2f4efcd6161b1e20abc022e830e14bb115be362b
2022-07-10T09:47:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wav2vec2_s982
2
null
transformers
26,961
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wav2vec2_s982 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_wav2vec2_s144
9a162a26b94d8bd977141b1cd4735813d2b4c06e
2022-07-10T09:51:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wav2vec2_s144
2
null
transformers
26,962
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wav2vec2_s144 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_wav2vec2_s930
003b844d0844dc5f4d6f85907d42fe9af96ef0c9
2022-07-10T09:54:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wav2vec2_s930
2
null
transformers
26,963
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wav2vec2_s930 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-100k_s437
299b782d6d2e09c980f241ea9dfbd4bc8291dc64
2022-07-10T09:57:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-100k_s437
2
null
transformers
26,964
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-100k_s437 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-100k_s159
eeebf12d03839ba39f6463e4a385bbe83b8eb8ac
2022-07-10T10:00:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-100k_s159
2
null
transformers
26,965
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-100k_s159 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-100k_s627
fde3dcc4c3b02212704f1ca4dcc4077509c7974c
2022-07-10T10:05:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-100k_s627
2
null
transformers
26,966
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-100k_s627 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_xlsr-53_s973
32e3ac9a9a8e619a5522320f360e48a2110fb512
2022-07-10T10:08:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_xlsr-53_s973
2
null
transformers
26,967
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_xlsr-53_s973 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_xlsr-53_s509
babf4419c99b2c9b5706de8ce352193e9789c9ed
2022-07-10T10:12:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_xlsr-53_s509
2
null
transformers
26,968
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_xlsr-53_s509 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_xlsr-53_s688
caede9078c6539ecd4caf6de4f5611fbc324a44a
2022-07-10T10:15:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_xlsr-53_s688
2
null
transformers
26,969
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_xlsr-53_s688 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech_s587
96c7961ff5c828f1b2de8dca2348872f2bf51681
2022-07-10T10:19:04.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech_s587
2
null
transformers
26,970
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech_s587 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech_s592
82332b9a87268da8fc91db4eab2b72904b2e1b6b
2022-07-10T10:22:49.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech_s592
2
null
transformers
26,971
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech_s592 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_hubert_s126
1d2abfeaa3d80a97e5322fdae81e2f4d80b11e9c
2022-07-10T10:31:00.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_hubert_s126
2
null
transformers
26,972
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_hubert_s126 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_hubert_s921
c4585d89ab1674e489d9ccd3f49546b6827cd5f3
2022-07-10T10:35:39.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_hubert_s921
2
null
transformers
26,973
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_hubert_s921 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_hubert_s55
b40f66b1d9095162c77859f3e63fd5e7720d8d9e
2022-07-10T10:39:16.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_hubert_s55
2
null
transformers
26,974
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_hubert_s55 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-sv_s22
606983165ad10065de00fe6861a4aa61a8834fa9
2022-07-10T10:42:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-sv_s22
2
null
transformers
26,975
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-sv_s22 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-sv_s470
b5ae183f51b4005da4dc4a942bea60144a6bf5d0
2022-07-10T10:46:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-sv_s470
2
null
transformers
26,976
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-sv_s470 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-sv_s347
6190467c096befe96e7deaa9b9949097faa8335f
2022-07-10T10:50:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-sv_s347
2
null
transformers
26,977
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-sv_s347 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_no-pretraining_s539
145b987c9c1e42536cf1121ff6a22f9cc89fed19
2022-07-10T10:55:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_no-pretraining_s539
2
null
transformers
26,978
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_no-pretraining_s539 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_no-pretraining_s286
2615f0d1dbbe51ba1bd6da5694960992f64c98db
2022-07-10T10:59:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_no-pretraining_s286
2
null
transformers
26,979
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_no-pretraining_s286 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_no-pretraining_s800
a503ebcdbce85391da153eaed9229535cd27199b
2022-07-10T11:03:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_no-pretraining_s800
2
null
transformers
26,980
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_no-pretraining_s800 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_wavlm_s295
dc7f3359b38e36533de96791b711968fe251d0aa
2022-07-10T11:07:17.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wavlm_s295
2
null
transformers
26,981
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wavlm_s295 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_wavlm_s824
98e1d01de9d3ec043e117223cc1b39207b8ed245
2022-07-10T11:10:49.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wavlm_s824
2
null
transformers
26,982
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wavlm_s824 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_wavlm_s101
f9643efd9d4de06464387c45e8aa7cfe0cefe550
2022-07-10T11:14:10.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_wavlm_s101
2
null
transformers
26,983
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_wavlm_s101 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech-ml_s952
97d3b59c986e7754dede01414ce96b2b443b8bd9
2022-07-10T11:17:22.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech-ml_s952
2
null
transformers
26,984
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech-ml_s952 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech-ml_s750
c9fd56088a358fd8bc9e6a857bf241b83071ab7b
2022-07-10T11:20:34.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech-ml_s750
2
null
transformers
26,985
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech-ml_s750 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-fr_s561
9badf9328ee2ce67a57178880e9146f6c9d88214
2022-07-10T11:27:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-fr_s561
2
null
transformers
26,986
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-fr_s561 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-fr_s489
0faf83ff6c67d1977e335369066a5a4fcb08512f
2022-07-10T11:30:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-fr_s489
2
null
transformers
26,987
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-fr_s489 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-fr_s830
fdef620219fd41e9e30d5e8b8809c86842cfef4e
2022-07-10T11:33:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-fr_s830
2
null
transformers
26,988
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-fr_s830 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-es_s189
8f2861814a723a574d77db6586fa516ad4d926ed
2022-07-10T11:37:25.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-es_s189
2
null
transformers
26,989
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-es_s189 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-es_s872
108896b3c11d4788355804af037dbfeb4c4a1c88
2022-07-10T11:42:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-es_s872
2
null
transformers
26,990
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-es_s872 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-es_s929
c3e3c8b066998dcc4d1c8c70ae1a99919b7bc414
2022-07-10T11:45:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-es_s929
2
null
transformers
26,991
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-es_s929 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-nl_s8
d79b1ceb41ca41c96cca2864763b49ff97d7738c
2022-07-10T11:48:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-nl_s8
2
null
transformers
26,992
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-nl_s8 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-nl_s247
2feb8da87ba5c3755f8f5fb5633e60aad1272ee9
2022-07-10T11:51:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-nl_s247
2
null
transformers
26,993
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-nl_s247 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_vp-nl_s283
3a8f81c3735441f7817e0d953dd3d6b259f8cbf1
2022-07-10T11:55:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_vp-nl_s283
2
null
transformers
26,994
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_vp-nl_s283 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s968
b0610d04ce8d775d10bcb8c852a7886f977c4c0f
2022-07-10T11:58:51.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s968
2
null
transformers
26,995
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech-sat_s968 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s75
9eadc6cb42910b62e05e28bd25c683bd708c7bac
2022-07-10T12:02:58.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s75
2
null
transformers
26,996
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech-sat_s75 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s480
de756a39fab69d5395ba1e92e3f730ed135b761a
2022-07-10T12:06:37.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_unispeech-sat_s480
2
null
transformers
26,997
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_unispeech-sat_s480 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_xls-r_s335
744b4aed10527fc3609c972432dd34837219be38
2022-07-10T12:10:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_xls-r_s335
2
null
transformers
26,998
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_xls-r_s335 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_de_xls-r_s143
df8560d39466a34d68b1d5a9d8fa1e9229948c8b
2022-07-10T12:13:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_de_xls-r_s143
2
null
transformers
26,999
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_de_xls-r_s143 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.