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- Generic API for feed-forward TTS models (FastPitch, SpeedySpeech) - Tests for `forward-tts` - Edit FastPitchConfig and SpeedySpeechConfig to use `forward_tts`
Forward TTS implementation
SpeedySpeech model using `ForwardTTS` UnivNet model fine-tuned on TacotronDDC_ph spectrograms
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🐸 v0.3.0
New
ForwardTTSimplementation.This version implements a new
ForwardTTSinterface that can be configured as any feed-forward TTS model that uses a duration predictor at inference time. Currently, we provide 3 pre-configured models and plan to implement one more.Through this API, any model can be trained in two ways. Either using pre-computed durations from a pre-trained Tacotron model or using an alignment network to learn durations from the dataset. The alignment network is only used at training and discarded at inference. You can set which mode you want to use by just setting the
use_alignerfield in the configuration.This new API will help us to design more efficient inference run-time for all these models using ONNX like run-time optimizers.
Old
FastPitchandSpeedySpeechimplementations are deprecated for the sake of this new implementation.Fine-Tuning Documentation
This version introduces documentation for model fine-tunning. You can see it under https://tts.readthedocs.io/ when this is merged.