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- This is a fine tuning on the Whisper Tiny model for using it as a CMU Voice-To-Text model. No conversion is needed, the model outputs the ARPABET symbols space separated instead of plain english text. It was trained using a datasest with over 100 hours of meeting recordings of conversational english. It's intended to be used in chat voice recognition and to be a little less sensitive to ambient noise or distance from microphone.
 
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+ This is a fine tuning on the Whisper Tiny model for using it as a CMU Voice-To-Text model. No conversion is needed, the model outputs the ARPABET symbols space separated instead of plain english text. It was trained using a datasest with over 100 hours of meeting recordings of conversational english.