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I keep having problems with datasets that contain wav files that are
would be nice to have a flag that checks the data before processing (i.e. train and devel) and removes faulty ones
The text was updated successfully, but these errors were encountered:
probably easiest to use a VAD for this, e.g. Inaspeechsegmenter
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or a very simple approach of VAD like here https://github.com/marsbroshok/VAD-python
i tried that and it didn't really work: using some test samples with street noise and such it always declared a lot of speech
started with version 0.53.0 added check_size check_vad (with silero)
not tested though....
should add check_samplerate
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I keep having problems with datasets that contain wav files that are
would be nice to have a flag that checks the data before processing (i.e. train and devel) and removes faulty ones
The text was updated successfully, but these errors were encountered: