This is a spoken language identification system that is based on the Whisper model. The system uses the Whisper-based algorithm to identify spoken languages or non-speech event. The Section 2.3 of the paper about Whisper (https://arxiv.org/abs/2212.04356) states that language tags or non-speech tags need to be predicted after the <|startoftranscript|> special token. Based on this information, the system estimates a probability distribution for the next token after the <|startoftranscript|> and selects the token with the highest probability as the final spoken language prediction. Since the predicted token can be either a language tag or a non-speech tag, the system combines the features of a spoken language identifier and a voice activity detector.
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Release files for whisper-lid 0.0.1
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Source distribution (sdist)
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| whisper_lid-0.0.1.tar.gz | 96.6 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| whisper_lid-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.9 kB
Release files / whisper_lid-0.0.1.tar.gz
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Release files / whisper_lid-0.0.1-py3-none-any.whl
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| Tags | Python 3 |
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