Skip to main content

Parakeet

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 Fluid dynamic graph and includes many influential TTS models proposed by Baidu Research and other research groups.


In particular, it features the latest WaveFlow model proposed by Baidu Research.

  • WaveFlow can synthesize 22.05 kHz high-fidelity speech around 40x faster than real-time on a Nvidia V100 GPU without engineered inference kernels, which is faster than WaveGlow and serveral orders of magnitude faster than WaveNet.
  • WaveFlow is a small-footprint flow-based model for raw audio. It has only 5.9M parameters, which is 15x smalller than WaveGlow (87.9M).
  • WaveFlow is directly trained with maximum likelihood without probability density distillation and auxiliary losses as used in Parallel WaveNet and ClariNet, which simplifies the training pipeline and reduces the cost of development.

Overview

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 Vocoders and end-to-end TTS models:

Updates

May-07-2021, Add an example for voice cloning in Chinese. Check examples/tacotron2_aishell3.

Setup

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

sudo apt-get install libsndfile1

Install PaddlePaddle

See install for more details. This repo requires PaddlePaddle 2.0.0rc1 or above.

Install Parakeet

pip install -U paddle-parakeet

or

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

See install for more details.

Examples

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

Audio samples

TTS models (Acoustic Model + Neural Vocoder)

Check our website for audio sampels.

Checkpoints

Tacotron2

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

Tacotron2_AISHELL3

  1. tacotron2_aishell3_ckpt_0.3.zip

TransformerTTS

  1. transformer_tts_ljspeech_ckpt_0.3.zip

WaveFlow

  1. waveflow_ljspeech_ckpt_0.3.zip

GE2E

  1. ge2e_ckpt_0.3.zip

Copyright and License

Parakeet is provided under the Apache-2.0 license.

Release files for paddle-parakeet 0.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for paddle-parakeet 0.3.1
File Size Uploaded
paddle-parakeet-0.3.1.tar.gz 52.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for paddle-parakeet 0.3.1
File Interpreter ABI Platform
paddle_parakeet-0.3.1-py2-none-any.whl Python 2 none any Details

Total release size: 145.3 kB

Release files / paddle-parakeet-0.3.1.tar.gz

Download URL paddle-parakeet-0.3.1.tar.gz
Size 52.7 kB
Tags Source
SHA-256 checksum
How to use checksums
f6053e5ed4fd4ba59f8261b45eac856ec9f9ba633fb1d9a7166c762b7f0ac3bf
BLAKE2b-256 checksum
How to use checksums
bd58148e1038430d6ed7c94c274d29c7c29e6020655673601644526128410c37
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/54.2.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.7

Release files / paddle_parakeet-0.3.1-py2-none-any.whl

Download URL paddle_parakeet-0.3.1-py2-none-any.whl
Size 92.6 kB
Tags Python 2
SHA-256 checksum
How to use checksums
051669657036b751601a07620b086a306efb80470370180b7f3997fc01c52b6a
BLAKE2b-256 checksum
How to use checksums
4110e7ac23f2a76975a2013b8282a49de4aa098d276a52a827b54ed992c01fc1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/54.2.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.7
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page