Top 141 speech-synthesis open source projects

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

PyTorch implementation of Tacotron speech synthesis model.

Translations with speech synthesis in your terminal as a node package

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu

A PyTorch implementation of "Robust Universal Neural Vocoding"

Lingvo

Tensorflow Implementation of Expressive Tacotron

The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

DeepMind's Tacotron-2 Tensorflow implementation

WaveNet vocoder

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text

A fast, high-quality neural vocoder.

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Machine learning based speech synthesis Electron app, with voices from specific characters from video games

Official code for Cotatron @ INTERSPEECH 2020

An overview of the AI-as-a-service landscape

A vocoder framework which had been widely used in research community since 1999.

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

Text to Speech with PyTorch (English and Mongolian)

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Implementation of "Duration Informed Attention Network for Multimodal Synthesis" (https://arxiv.org/pdf/1909.01700.pdf) paper.

Kalliope is a framework that will help you to create your own personal assistant.

Crystal - C++ implementation of a unified framework for multilingual TTS synthesis engine with SSML specification as interface.

WaveRNN Vocoder + TTS

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

Cross-lingual Voice Conversion

A fast cnn-based vocoder

This is now the official location of the Merlin project.

Simple speech linguistic AI with Python

Wavenet and its applications with Tensorflow

A programmable version of Neil Thapen's Pink Trombone

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

A PyTorch implementation of Tacotron2, an end-to-end text-to-speech(TTS) system described in "Natural TTS Synthesis By Conditioning Wavenet On Mel Spectrogram Predictions".

A voice control - voice commands - speech recognition and speech synthesis javascript library. Create your own siri,google now or cortana with Google Chrome within your website.

Windows "say"

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

HTS-style full-context labels for JSUT v1.1

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

A high-quality speech analysis, manipulation and synthesis system

a free and open source speech synthesizer for Russian and other languages

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

Software Automatic Mouth - Tiny Speech Synthesizer

RNN-based generative models for speech.

The Implementation of FastSpeech based on pytorch.

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

an open-source implementation of sequence-to-sequence based speech processing engine

Translations with speech synthesis in your terminal as a ruby gem

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)