v0.2.0

🐸 v0.2.0

🐞Bug Fixes

• Fix phoneme pre-compute issue.
• Fix multi-speaker setup in Tacotron models.
• Fix small issues in the Trainer regarding multi-optimizer training.

💾 Code updates

• W&B integration for model logging and experiment tracking, (👑 @AyushExel)
  Code uses the Tensorboard by default. For W&B, you need to set log_dashboard option in the config and define project_name and wandb_entity.
• Use ffsspec for model saving/loading (👑 @agrinh)
• Allow models to define their own symbol list with in-class make_symbols()
• Allow choosing after epoch or after step LR scheduler update with scheduler_after_epoch.
• Make converting spectrogram from amplitude to DB optional with do_amp_to_db_linear and do_amp_to_db_linear options.

🗒️ Docs updates

• Add GlowTTS and VITS docs.

🤖 Model implementations

• VITS implementation with pre-trained models (https://arxiv.org/abs/2106.06103)

🚀 Model releases

• vocoder_models--ja--kokoro--hifigan_v1 (👑 @kaiidams)

  HiFiGAN model trained on Kokoro dataset to complement the existing Japanese model.

  Try it out:

  tts --model_name tts_models/ja/kokoro/tacotron2-DDC --text "こんにちは、今日はいい天気ですか？"

• tts_models--en--ljspeech--tacotronDDC_ph

  TacotronDDC with phonemes trained on LJSpeech. It is to fix the pronunciation errors caused by the raw text
  in the released TacotronDDC model.

  Try it out:

  tts --model_name tts_models/en/ljspeech/tacotronDDC_ph --text "hello, how are you today?"

• tts_models--en--ljspeech--vits

  VITS model trained on LJSpeech.

  Try it out:

  tts --model_name tts_models/en/ljspeech/vits --text "hello, how are you today?"

• tts_models--en--vctk--vits

  VITS model trained on VCTK with multi-speaker support.

  Try it out:

  tts-server --model_name tts_models/en/vctk/vits     

• vocoder_models--en--ljspeech--univnet

  UnivNet model trained on LJSpeech to complement the TacotronDDC model above.

  Try it out:

  tts --model_name tts_models/en/ljspeech/tacotronDDC_ph --text "hello, how are you today?"