How to perform diarization on the whisper model?
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Diarization on the whisper model can be performed by using a diarization model to distinguish between utterances by different speakers . This can be achieved by training the diarization model based on audio waveforms representing different utterances and corresponding identity data indicating the speakers . The diarization model can then be used to determine the source speaker of a given utterance, even without further identity data . Updating the diarization model based on new utterances and the determined source speaker can help improve the accuracy of the diarization process .
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| Papers (5) | Insight |
|---|---|
09 Dec 2001 24 Citations | The provided paper does not mention how to perform diarization on the whisper model. The paper focuses on the acoustic analysis and recognition of whispered speech, but does not provide information on diarization techniques. |
| The provided paper does not mention anything about diarization on the whisper model. | |
19 Apr 2015 3 Citations | The paper does not provide information on how to perform diarization on the whisper model. The paper focuses on using multi-task deep neural network (DNN) acoustic models and model adaptation for whisper recognition. |
| The paper does not provide information on how to perform diarization specifically on the whisper model. The paper focuses on an adaptive diarization model and user interface. | |
Open access•Proceedings Article 01 Sep 2010 | The provided paper does not mention anything about performing diarization on the whisper model. |
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