Parakeet aims to provide a flexible, efficient and state-of-the-art text-to-speech toolkit for the open-source community. It is built on PaddlePaddle dynamic graph and includes many influential TTS models.

• Oct-12-2021, Refector examples code.
• Oct-12-2021, Parallel WaveGAN with LJSpeech. Check examples/GANVocoder/parallelwave_gan/ljspeech.
• Oct-12-2021, FastSpeech2/FastPitch with LJSpeech. Check examples/fastspeech2/ljspeech.
• Sep-14-2021, Reconstruction of TransformerTTS. Check examples/transformer_tts/ljspeech.
• Aug-31-2021, Chinese Text Frontend. Check examples/text_frontend.
• Aug-23-2021, FastSpeech2/FastPitch with AISHELL-3. Check examples/fastspeech2/aishell3.
• Aug-03-2021, FastSpeech2/FastPitch with CSMSC. Check examples/fastspeech2/baker.
• Jul-19-2021, SpeedySpeech with CSMSC. Check examples/speedyspeech/baker.
• Jul-01-2021, Parallel WaveGAN with CSMSC. Check examples/GANVocoder/parallelwave_gan/baker.
• Jul-01-2021, Montreal-Forced-Aligner. Check examples/use_mfa.
• May-07-2021, Voice Cloning in Chinese. Check examples/tacotron2_aishell3.

In order to facilitate exploiting the existing TTS models directly and developing the new ones, Parakeet selects typical models and provides their reference implementations in PaddlePaddle. Further more, Parakeet abstracts the TTS pipeline and standardizes the procedure of data preprocessing, common modules sharing, model configuration, and the process of training and synthesis. The models supported here include Text FrontEnd, end-to-end Acoustic models and Vocoders:

• Text FrontEnd

  • Rule based Chinese frontend.

• Acoustic Models

  • 【FastSpeech2】FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
  • 【SpeedySpeech】SpeedySpeech: Efficient Neural Speech Synthesis
  • 【Transformer TTS】Neural Speech Synthesis with Transformer Network
  • 【Tacotron2】Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

• Vocoders

  • 【Parallel WaveGAN】Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
  • 【WaveFlow】WaveFlow: A Compact Flow-based Model for Raw Audio

• Voice Cloning

  • Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
  • 【GE2E】Generalized End-to-End Loss for Speaker Verification

It's difficult to install some dependent libraries for this repo in Windows system, we recommend that you DO NOT use Windows system, please use Linux.

Make sure the library libsndfile1 is installed, e.g., on Ubuntu.

sudo apt-get install libsndfile1

See install for more details. This repo requires PaddlePaddle 2.1.2 or above.

git clone https://github.com/PaddlePaddle/Parakeet
cd Parakeet
pip install -e .

If some python dependent packages cannot be installed successfully, you can run the following script first. (replace python3.6 with your own python version)

sudo apt install -y python3.6-dev

See install for more details.

Entries to the introduction, and the launch of training and synthsis for different example models:

• >>> Chinese Text Frontend
• >>> FastSpeech2/FastPitch
• >>> Montreal-Forced-Aligner
• >>> Parallel WaveGAN
• >>> SpeedySpeech
• >>> Tacotron2_AISHELL3
• >>> GE2E
• >>> WaveFlow
• >>> TransformerTTS
• >>> Tacotron2

Check our website for audio sampels.

1. fastspeech2_nosil_baker_ckpt_0.4.zip
2. fastspeech2_nosil_aishell3_ckpt_0.4.zip
3. fastspeech2_nosil_ljspeech_ckpt_0.5.zip

1. speedyspeech_nosil_baker_ckpt_0.5.zip

1. transformer_tts_ljspeech_ckpt_0.4.zip

1. tacotron2_ljspeech_ckpt_0.3.zip
2. tacotron2_ljspeech_ckpt_0.3_alternative.zip

1. waveflow_ljspeech_ckpt_0.3.zip

1. pwg_baker_ckpt_0.4.zip
2. pwg_ljspeech_ckpt_0.5.zip

1. tacotron2_aishell3_ckpt_0.3.zip

1. ge2e_ckpt_0.3.zip

Parakeet is provided under the Apache-2.0 license.