# exp_w2v2t_ar_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 (ar)](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": ["ar"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "ar"], "datasets": ["mozilla-foundation/common_voice_7_0"]}
transformers pytorch unispeech-sat automatic-speech-recognition ar dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #unispeech-sat #automatic-speech-recognition #ar #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_ar_unispeech-sat_s75

Fine-tuned microsoft/unispeech-sat-large for speech recognition using the train split of Common Voice 7.0 (ar).
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_ar_unispeech-sat_s75

Fine-tuned microsoft/unispeech-sat-large for speech recognition using the train split of Common Voice 7.0 (ar).
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 #unispeech-sat #automatic-speech-recognition #ar #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_ar_unispeech-sat_s75

Fine-tuned microsoft/unispeech-sat-large for speech recognition using the train split of Common Voice 7.0 (ar).
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 #unispeech-sat #automatic-speech-recognition #ar #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_ar_unispeech-sat_s75

Fine-tuned microsoft/unispeech-sat-large for speech recognition using the train split of Common Voice 7.0 (ar).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the HuggingSound tool.