Choose for few-shot voice cloning with one minute of target speech if you do not need audio editing.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- 61.2k
- Python
- MIT
speech editing / text-to-speech
An LLM-based 3B reinforcement-learning audio editing model that edits emotion, speaking style, and paralinguistics while also performing robust zero-shot text-to-speech.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose for few-shot voice cloning with one minute of target speech if you do not need audio editing.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Choose for tokenizer-free multilingual TTS with voice design and cloning if you want a different modeling pipeline.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
Choose for real-time 150x voice cloning when inference latency matters more than edit controls.
A high-quality rapid TTS voice cloning model that reaches speeds of 150x realtime.
Choose if you already use Whisper features and want a TTS stack built by inverting Whisper rather than an edit model.
An Open Source text-to-speech system built by inverting Whisper.
Choose for long-form, dialogue, sound-effect, and streaming TTS modes if those outputs matter more than editing.
An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS
Choose for cross-lingual zero-shot TTS when multilingual coverage is the priority.
Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine
Choose for production-oriented controllable zero-shot TTS if you need industrial deployment rather than editing.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Choose for full-stack multilingual voice generation with training and deployment if you want a larger ecosystem.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Choose for Qwen3 expressive streaming TTS and voice design if you prefer that model family.
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.
Choose for 600+ language voice-cloning TTS if broad language coverage is the main requirement.
High-Quality Voice Cloning TTS for 600+ Languages
Choose for token-infilling zero-shot speech editing and TTS when you need content edits rather than emotion/style RL edits.
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Choose for controllable fast TTS across many languages if speed and language breadth matter more than editing.
Controllable and fast Text-to-Speech for over 7000 languages!
Choose for another LLM-empowered TTS foundation stack if you do not need audio editing.
An Open-Sourced LLM-empowered Foundation TTS System
Choose for emotion-expressive zero-shot TTS with multi-reward RL if you need emotional TTS but not editing existing audio.
GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS with Multi-Reward Reinforcement Learning
Choose for an alternative human-sounding LLM TTS stack if editing is not required.
Towards Human-Sounding Speech
Choose for SoTA open-source TTS with a permissive MIT license if you want a straightforward TTS swap.
SoTA open-source TTS
Choose for CPU-only lightweight TTS when you need pocket deployment rather than GPU audio editing.
A TTS that fits in your CPU (and pocket)
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Instant voice cloning, but last pushed over 18 months ago, so only for legacy experiments.
Instant voice cloning by MIT and MyShell. Audio foundation model.
Older inference-only TTS codebase, superseded and last pushed over 18 months ago.
Spark-TTS Inference Code
Multilingual expressive TTS but last pushed over 18 months ago, so only for legacy use.
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.
Expressive TTS foundational model but unmaintained for over two years, so legacy only.
Foundational model for human-like, expressive TTS
These projects were analysed and named Step-Audio-EditX among their alternatives. The relationship is not symmetric — how Step-Audio-EditX rates them is a separate judgement, made when Step-Audio-EditX is analysed in its own right.
calls Step-Audio-EditX “choose when you want a model that also edits emotion and style while providing zero-shot TTS.”
Instant voice cloning by MIT and MyShell. Audio foundation model.
calls Step-Audio-EditX “choose for zero-shot TTS combined with audio emotion/style editing.”
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
calls Step-Audio-EditX “Choose when your primary need is editing emotion/style in existing audio, with TTS also available.”
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
calls Step-Audio-EditX “Choose when you want an LLM-based model that edits emotion and style while also performing zero-shot TTS.”
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.
calls Step-Audio-EditX “choose when emotion/style editing is as important as zero-shot TTS.”
Spark-TTS Inference Code
calls Step-Audio-EditX “Use for LLM-based audio editing with TTS capability, if editing is the primary need.”
High-Quality Voice Cloning TTS for 600+ Languages
calls Step-Audio-EditX “choose when you need emotion/style editing and robust zero-shot TTS from a 3B LLM, despite higher compute.”
Zero-Shot Speech Editing and Text-to-Speech in the Wild
calls Step-Audio-EditX “choose over Zonos when your application mixes audio editing (emotion/style) with zero-shot TTS in one LLM; it is not a pure TTS replacement.”
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.