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metavoiceio/metavoice-src Alternatives

4.2kPythonApache-2.0dormant · last push 2.2y agoGitHub

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

index-tts/index-ttsGitHub

calls metavoice-src “choose for a foundational expressive TTS model with Apache-2.0.”

An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

23.4kPythonactive
CorentinJ/Real-Time-Voice-CloningGitHub

calls metavoice-src “Choose it for a modern foundational-model approach to expressive few-shot TTS, prioritizing audio quality over real-time speed.”

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

60.1kPythonactive
coqui-ai/TTSGitHub

calls metavoice-src “An expressive TTS foundation model; pick it for human-like prosody when you do not need Coqui's extensive multi-model toolkit.”

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

45.9kPythondormant
babysor/MockingBirdGitHub

calls metavoice-src “Choose if you want a more expressive foundation-model TTS and don't need recent updates (repo dormant).”

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

36.9kPythonactive
mozilla/TTSGitHub

calls metavoice-src “choose for an expressive foundational TTS model, but it is not a multi-model training toolkit.”

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

10.2kJupyter Notebookdormant
kyutai-labs/pocket-ttsGitHub

calls metavoice-src “choose if you want an expressive foundational TTS and have GPU.”

A TTS that fits in your CPU (and pocket)

9.2kPythonactive
jasonppy/VoiceCraftGitHub

calls metavoice-src “choose for human-like expressive TTS from a foundational model, no speech editing.”

Zero-Shot Speech Editing and Text-to-Speech in the Wild

8.6kJupyter Notebookactive
jaywalnut310/vitsGitHub

calls metavoice-src “choose for expressive large-model TTS with human-like prosody, trading runtime weight.”

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

7.9kPythondormant
ranchlai/mandarin-ttsGitHub

calls metavoice-src “Choose it for zero-shot cloning from a short sample, at the cost of large weights and an unmaintained repo.”

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

477Pythondormant
RVC-Boss/GPT-SoVITSGitHub

calls metavoice-src “Choose it if you want the older MetaVoice expressive TTS, but updates are sparse.”

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

61.2kPythonactive
myshell-ai/OpenVoiceGitHub

calls metavoice-src “choose for human-like expressive TTS when you accept an unmaintained codebase (no push for over 2 years).”

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

37.2kPythonslowing
OpenBMB/VoxCPMGitHub

calls metavoice-src “Choose if you want a small zero-shot TTS clone, but it has not been updated in over two years.”

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

36.0kPythonactive
QwenAudio/CosyVoiceGitHub

calls metavoice-src “An older expressive TTS model; choose for its prosody style if you accept no recent maintenance.”

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

23.1kPythonactive
QwenLM/Qwen3-TTSGitHub

calls metavoice-src “Previous generation with no recent pushes, but still a valid Apache-2.0 expressive TTS foundation.”

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.

13.5kPythonslowing
PaddlePaddle/PaddleSpeechGitHub

calls metavoice-src “Expressive TTS model only, unmaintained; useful only for research on that model.”

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

12.7kPythonactive
SparkAudio/Spark-TTSGitHub

calls metavoice-src “an older expressive TTS model with no recent maintenance.”

Spark-TTS Inference Code

11.0kPythonslowing
open-mmlab/AmphionGitHub

calls metavoice-src “Choose when you need an older foundational TTS model for expressive speech, but it is not actively maintained.”

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

10.3kPythonactive
espnet/espnetGitHub

calls metavoice-src “Choose when you need a foundational expressive TTS model specifically, without the broader tools of ESPnet.”

End-to-End Speech Processing Toolkit

9.9kPythonactive
k2-fsa/OmniVoiceGitHub

calls metavoice-src “Use for an early expressive-TTS foundation model, but stale and superseded.”

High-Quality Voice Cloning TTS for 600+ Languages

9.3kPythonactive
netease-youdao/EmotiVoiceGitHub

calls metavoice-src “choose for an expressive TTS baseline, but it is stale and unmaintained.”

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

8.5kPythondormant