AltHub

espeak-ng/espeak-ng Alternatives

text-to-speech synthesis

eSpeak NG is a compact formant-synthesis text-to-speech engine supporting many languages and accents, with CLI, shared library, and Windows SAPI5 interfaces.

6.8kCGPL-3.0active · last push 1mo agoGitHub

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

RHVoice/RHVoiceGitHub

choose it for a higher-quality Russian voice in a native C++ library, at the cost of far fewer languages.

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

1.8k
C++
GPL-2.0
active20d ago
jaywalnut310/vitsGitHub

choose it for end-to-end neural TTS with a specific trained model, accepting the need for PyTorch and GPU.

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

7.9k
Python
MIT
dormant2.8y ago
ekwek1/sopranoGitHub

choose it for a Python neural TTS with modern high-quality voices and a permissive license.

Soprano: Instant, Ultra-Realistic Text-to-Speech

1.6k
Python
Apache-2.0
slowing9mo ago
supertone-inc/supertonicGitHub

choose it when building on Apple platforms/Swift and want local neural TTS via ONNX.

Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

13.7k
Swift
MIT
active3mo ago
babysor/MockingBirdGitHub

choose it for instant voice cloning from a short sample, accepting a heavy Python/PyTorch pipeline.

🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

36.9k
Python
NOASSERTION
active7mo ago
myshell-ai/OpenVoiceGitHub

choose it when you need versatile voice cloning and fine-grained tone control in Python.

Instant voice cloning by MIT and MyShell. Audio foundation model.

37.2k
Python
MIT
slowing1.5y ago
Zyphra/ZonosGitHub

choose it for expressive, high-quality open-weight TTS when you can run GPU inference.

Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.

7.2k
Python
Apache-2.0
dormant1.6y ago
QwenAudio/CosyVoiceGitHub

choose it when you need a full-stack multilingual generative TTS with training and deployment tooling.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

23.1k
Python
Apache-2.0
active5mo ago
CorentinJ/Real-Time-Voice-CloningGitHub

choose it for the classic real-time voice-cloning pipeline in Python/TensorFlow, with significant resource requirements.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

60.1k
Python
NOASSERTION
active7mo ago
rhasspy/piperGitHub

choose it for a fast, local neural TTS with many community voices; note the original is archived but still usable.

A fast, local neural text to speech system

11.3k
C++
MIT
archived1.1y ago
shivammehta25/Matcha-TTSGitHub

choose it for a fast flow-matching neural TTS architecture when doing research or training your own voice.

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

1.4k
Jupyter Notebook
MIT
active1mo ago

Older generation, or narrower

An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.

s-macke/SAMGitHub

choose if you want a tiny retro 1980s formant synthesizer for historical/hobby use; it is far narrower and unmaintained.

Software Automatic Mouth - Tiny Speech Synthesizer

1.5k
C
none
dormant2.3y ago
pnnbao97/VieNeu-TTSGitHub

choose it only if you need on-device realtime Vietnamese neural TTS with voice cloning; it is narrower than a hundred-language engine.

Vietnamese TTS with instant voice cloning • On-device • Real-time CPU inference • 48kHz audio quality • Chuyển văn bản thành giọng nói tiếng Việt • Text to speech tiếng Việt • TTS tiếng Việt

2.6k
Python
Apache-2.0
active23d ago

Listed as an alternative to

These projects were analysed and named espeak-ng among their alternatives. The relationship is not symmetric — how espeak-ng rates them is a separate judgement, made when espeak-ng is analysed in its own right.

ZDisket/TensorVoxGitHub

calls espeak-ng “Choose for a lightweight, non-neural synthesizer with 100+ languages when neural quality isn't required.”

Desktop application for neural speech synthesis written in C++

214C++slowing
rany2/edge-ttsGitHub

calls espeak-ng “Choose when you need a tiny offline formant synthesizer with many languages and minimal resources; robotic quality.”

Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key

11.8kPythonactive