AI · AI model
Zonos-v0.1
Open-weight text-to-speech model with voice cloning and fine-grained emotion control
Zonos-v0.1 is an open-weight speech generation model developed by Zyphra and trained on over 200,000 hours of multilingual audio. It provides voice cloning from short audio clips alongside conditioning controls for speaking rate, pitch, and specific emotions, delivering audio natively at 44kHz.
What it's for
- Clone target voices using a reference audio clip of a few seconds
- Generate expressive speech with specific emotional inflections like anger, fear, or happiness
- Produce high-sample-rate spoken audio for podcasts, videos, or games
Features
- Voice cloning from short reference audio clips or speaker embeddings
- Conditioning controls for emotion, speaking rate, pitch variation, and audio quality
- Native 44kHz audio output
- Trained on over 200,000 hours of multilingual speech data
- Open-weight model architecture
Pricing
Open source
Details
- Type
- AI model
- Category
- AI
- Topic
- Text to Speech
- Open source
- Yes
- Platforms
- Self-hosted, Code library, Web
- For
- Developers, AI researchers, and creators looking for self-hostable text-to-speech models
- Alternative to
- ElevenLabs, Bark, ChatTTS
- Tags
- tts, text to speech, voice cloning, audio generation, open weights
Why it was saved
- @tom_doerr: Natural speech generation from text with speaker embedding or audio prefix; accurate voice cloning from a few seconds of reference audio; conditioning controls for speaking rate, pitch variation, audio quality, and emotions (happiness, fear, sadness, anger); outputs natively at 44kHz.
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