# exp_w2v2t_en_wavlm_s990

Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition on English using the train split of [Common Voice 7.0](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.
    
{"language": ["en"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "en"], "datasets": ["mozilla-foundation/common_voice_7_0"]}
transformers pytorch wavlm automatic-speech-recognition en dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_en_wavlm_s990

Fine-tuned microsoft/wavlm-large for speech recognition on English using the train split of 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 tool.
    
# exp_w2v2t_en_wavlm_s990

Fine-tuned microsoft/wavlm-large for speech recognition on English using the train split of 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 tool.
TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_en_wavlm_s990

Fine-tuned microsoft/wavlm-large for speech recognition on English using the train split of 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 tool.
passage: TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_en_wavlm_s990

Fine-tuned microsoft/wavlm-large for speech recognition on English using the train split of 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 tool.