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We released the Forward version of our Transformer TTS implementation, a text-to-speech Transformer in TensorFlow 2/Keras. Now the model is more robust, fast an
by datitran 6y ago
We released the Forward version of our Transformer TTS implementation, a text-to-speech Transformer in TensorFlow 2/Keras. Now the model is more robust, fast and controllable.
- Samples: https://as-ideas.github.io/TransformerTTS/ https://as-ideas.github.io/TransformerTTS/
- Code: https://github.com/as-ideas/TransformerTTS https://github.com/as-ideas/TransformerTTS
- modeless 6y agoHow fast is it?
- microtherion 6y agoI cannot speak for the authors, but my impression is that the vocoder (WaveRNN) part of current TTS systems takes much more computing than the part that this research addresses, so this may not help all that much.
- narrationbox 6y agoYour work looks good. Code is very clean, well done. What hardware did you use for training? Do you see any potential improvement/application for multispeaker tasks? Also, what does a publishing house's in-house ML team generally do? Are you building the implementations for peer review replication?