Comments (2)
We haven't actually tried it with smaller data sets. Tacotron2 was still improving with more data, so we always just used the biggest LJ Speech set for WaveGlow. But the model shows no signs of overfitting on LJ Speech, so I'm sure you can get away with less than 24 hours. My hunch is 2 hours would be fine. Though you'll need to train something like Tacotron2 if you're using mels, and that is more data hungry.
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Related Issues (20)
- GPU required or CPU compatible? HOT 1
- tts_waveglow_268m from_pretrained KeyError
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