AI · AI model
Dessa
Full-duplex speech-to-speech AI model trained entirely on human conversation without text.
Dessa is a conversational AI model developed by Block that was trained from scratch strictly on human speech rather than text. Because it operates audio-in and audio-out in full-duplex mode, it can listen and speak simultaneously with realistic timing, backchanneling, and emotional tone. The model runs faster than real time and is compact enough to execute locally on high-end Apple silicon hardware.
What it's for
- Build natural voice-first conversational interfaces without text-to-speech latency
- Experiment with speech models that handle natural interruptions and emotional inflection
- Run real-time conversational voice agents locally on high-spec Apple hardware
Features
- Full-duplex audio processing that listens and speaks simultaneously
- Trained strictly on raw sound without text transcripts or pretrained models
- Natural conversational dynamics including interruptions, laughing mid-sentence, and backchanneling
- Runs locally on a MacBook Pro with M4 Max or better
- Faster-than-real-time inference latency
- Trained on a single NVIDIA GB200 NVL72 setup
Pricing
Free. Currently in research preview / waitlist; no pricing announced.
Details
- Type
- AI model
- Category
- AI
- Topic
- Speech Models
- Open source
- No
- Platforms
- macOS, Web
- For
- AI researchers, voice interface designers, and developers building conversational audio apps.
- Alternative to
- OpenAI Advanced Voice Mode, Kyutai Moshi, Hume AI
- Tags
- speech, voice, audio, full duplex, speech to speech, conversational ai
Why it was saved
- @jack: Real, locally runnable frontier speech model for building voice-first products and natural conversational interfaces.
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