mirror of https://github.com/coqui-ai/TTS.git
903a77c197
* Update wavenet.py Current version does not use "in_channels" argument. In glowTTS, we use normalizing flows and so "input dim" == "ouput dim" (channels and length). So, the existing code just uses hidden_channel sized tensor as input to first layer as well as outputs hidden_channel sized tensor. However, since it is a generic implementation, I believe it is better to update it for a more general use. * "in_channels -> hidden_channels" |
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| .. | ||
| align_tts | ||
| feed_forward | ||
| generic | ||
| glow_tts | ||
| tacotron | ||
| vits | ||
| __init__.py | ||
| losses.py | ||