# exp_w2v2t_en_unispeech_s809

Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) 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 unispeech automatic-speech-recognition en dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #unispeech #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_en_unispeech_s809

Fine-tuned microsoft/unispeech-large-1500h-cv 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_unispeech_s809

Fine-tuned microsoft/unispeech-large-1500h-cv 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 #unispeech #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_en_unispeech_s809

Fine-tuned microsoft/unispeech-large-1500h-cv 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 #unispeech #automatic-speech-recognition #en #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_en_unispeech_s809

Fine-tuned microsoft/unispeech-large-1500h-cv 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.