text-to-speech / speech synthesis
Mozilla TTS is a PyTorch library for training and using deep-learning text-to-speech models such as Tacotron2, Glow-TTS, and MelGAN.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose if you need a TensorFlow 2 TTS toolkit instead of PyTorch.
:stuck_out_tongue_closed_eyes: 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)
choose for prompt-controlled emotive TTS from a pretrained engine rather than a trainable multi-model library.
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
choose for an expressive foundational TTS model, but it is not a multi-model training toolkit.
Foundational model for human-like, expressive TTS
choose for fast on-device inference with pre-trained voices instead of training your own.
A fast, local neural text to speech system
choose if you need a PaddlePaddle-based TTS toolkit.
PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Parallel WaveGAN)
choose for a modern tokenizer-free multilingual TTS with voice cloning, but it is a distinct architecture.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
choose if you only need the original Glow-TTS model without the full training framework.
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
choose for a minimal PyTorch Tacotron implementation of a classic model.
Pytorch implementation of Tacotron
choose for a lightweight WaveRNN-based TTS/vocoder rather than a multi-model toolkit.
WaveRNN Vocoder + TTS
choose if you specifically need Vietnamese TTS with a lightweight library.
Vietnamese Text to Speech library
choose for real-time voice cloning rather than general TTS; narrower use case.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
focused on voice cloning, not general TTS; narrower alternative.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
choose for a Chinese/Mandarin FastSpeech2 implementation specifically, not a general toolkit.
Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets
choose if you want the single VITS end-to-end model rather than a multi-model framework.
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
choose for an older TensorFlow Tacotron implementation with a pretrained model.
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
choose for a multilingual Tacotron voice-cloning setup, narrower than general TTS.
Phoneme multilingual(Russian-English) voice cloning based on
choose for a fast single-model TTS supporting many languages, narrower than the full toolkit.
A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型，适用于英语、普通话/中文、日语、韩语、俄语和藏语（当前已测试）。
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
desktop GUI application for neural speech synthesis, not a swappable library.
Desktop application for neural speech synthesis written in C++
end-user app/GUI for voice synthesis, not a library to embed.
A Python/Pytorch app for easily synthesising human voices
These projects were analysed and named TTS among their alternatives. The relationship is not symmetric — how TTS rates them is a separate judgement, made when TTS is analysed in its own right.
calls TTS “Choose for a Python deep-learning TTS toolkit with training recipes, trading desktop convenience for flexibility.”
Desktop application for neural speech synthesis written in C++
calls TTS “Older TTS toolkit; choose it if you need a proven library for training/speaker adaptation, not zero-shot real-time cloning.”
Clone a voice in 5 seconds to generate arbitrary speech in real-time
calls TTS “The direct predecessor of Coqui TTS; choose it only if you specifically need the historical Mozilla codebase.”
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production