466 Open source projects that are alternatives of or similar to Lightspeech

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

Windows "say"

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

Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. Objectives of the development are simplicity, modularity, controllability and multilinguality.

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

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

An opensource text-to-speech (TTS) voice building tool

AdaSpeech: Adaptive Text to Speech for Custom Voice

Official implementation of Meta-StyleSpeech and StyleSpeech

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

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

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

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

WaveRNN Vocoder + TTS

😝 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)

AAC communication system with text-to-speech for the browser

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

A fast, high-quality neural vocoder.

Lingvo

Text-to-speech browser extension button. Select text on any web page, and have the computer read it out loud for you by simply clicking the Talkie button.

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

Python library and CLI tool to interface with Google Translate's text-to-speech API

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Text to Speech with PyTorch (English and Mongolian)

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

TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis

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

Text-to-Speech for Arduino

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Desktop application for neural speech synthesis written in C++

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

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

Speech synthesis running on ESP32 based on Flite engine.

Spokestack: give your React Native app a voice interface!

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

MelGAN implementation with Multi-Band and Full Band supports...

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

Audio samples accompanying publications related to Tacotron, an end-to-end speech synthesis model.

Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021

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.

💬 A wrapper for popular TTS services to create a more simple & uniform API. Currently, only AWS Polly is supported.

Spokestack: give your iOS app a voice interface!

PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech

WIP Tensorflow implementation of https://github.com/mozilla/TTS

(discontinued) 🎵The Formant-Based All Language Singing Voice Syntheis System: Sinsy-NG

Learn how to build a simple text-to-speech voice app for the web using the Web Speech API.