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README.md
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pipeline_tag: automatic-speech-recognition
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datasets:
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- MuST-C-en_ar
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library_name: fairseq
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tags:
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- audio
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- automatic-speech-recognition
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- speech
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- speech2text
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- **Model type:** transformer encoder- decoder
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- **Language:** En
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- **Base model:** SpeechT5-ASR [checkpoint](https://huggingface.co/microsoft/speecht5_asr)
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- **
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## Key Features:
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Punctuation Sensitivity: The model is specifically engineered to be highly sensitive to punctuation nuances in spoken English, ensuring
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pipeline_tag: automatic-speech-recognition
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datasets:
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- MuST-C-en_ar
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tags:
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- audio
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- automatic-speech-recognition
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- speech
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- speech2text
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- **Model type:** transformer encoder- decoder
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- **Language:** En
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- **Base model:** SpeechT5-ASR [checkpoint](https://huggingface.co/microsoft/speecht5_asr)
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- **
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Finetuning dataset:** [MuST-C-en_ar](https://www.kaggle.com/datasets/sebaeymohamed/must-c-en-ar)
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## Key Features:
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Punctuation Sensitivity: The model is specifically engineered to be highly sensitive to punctuation nuances in spoken English, ensuring
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