What it does
Core capabilities at a glance
- 8-billion parameter TTS model for expressive speech
- One-shot voice cloning from 10-second audio sample
- 110ms inference latency (faster than human conversation)
- RVQ Transformer architecture (Sesame CSM-inspired)
- Self-hostable, audio data never leaves your machine
- Open weights available on HuggingFace
- Mimi audio codec integration
Deep dive
The full breakdown - performance, comparisons, and setup
Miso One / MisoTTS
Miso One is an 8-billion parameter text-to-speech model from Miso Labs that sets a new standard for emotive speech synthesis. Built on an RVQ Transformer architecture inspired by Sesame's CSM, it delivers one-shot voice cloning from a 10-second sample at 110ms latency - faster than natural human conversation. The weights are open-source and self-hostable.
Why this matters
TTS has been dominated by cloud APIs (ElevenLabs, OpenAI TTS) that lock your audio data behind metered billing. Miso One is the first model at this quality tier that runs entirely on your own hardware. For developers building voice agents, accessibility tools, or content creation pipelines, this removes the privacy and cost barriers that have made high-quality TTS a recurring expense.
Performance you will see
- Latency: 110ms end-to-end - faster than the 200ms human conversational threshold
- Voice cloning: one-shot from 10 seconds of audio
- Architecture: 8B RVQ Transformer, generating Mimi audio codes
- Self-hosting: runs on a single consumer GPU (RTX 4090) at Q4
How it stacks up
| Feature | Miso One (8B) | Kokoro 82M (0.08B) | Piper TTS | ElevenLabs (cloud) |
|---|---|---|---|---|
| Emotion | ★★★★★ | ★★☆☆☆ | ★☆☆☆☆ | ★★★★☆ |
| Voice cloning | One-shot 10s | No | No | Instant |
| Latency | 110ms | Real-time | Real-time | 300-500ms |
| Self-hosted | Yes | Yes | Yes | No |
| Privacy | Full | Full | Full | None |
| Model size | 8B | 82M | Small | N/A |
Get started
git clone https://github.com/MisoLabsAI/MisoTTS.git
cd MisoTTS
pip install -e .
python run_misottss.pyWhat the community says
"Miso One is the first open TTS model that actually sounds like a human reading, not a robot. The emotion and pacing are incredible."
- r/LocalLLaMA, 156 upvotes
When to use something else
If you need a lightweight, production-tested TTS that runs on CPU, Kokoro (82M params) or Piper are better choices. Miso One requires a GPU. If voice cloning is not needed, Kokoro's smaller footprint and broader language support may serve you better.
Frequently asked
Quick answers to common questions
What is Miso One / MisoTTS?
Miso One / MisoTTS is a tts-stt tool for local AI workloads. Open-weight 8B text-to-speech model with human-like emotion, one-shot voice cloning, and 110ms latency.
Is Miso One / MisoTTS free and open source?
Yes, Miso One / MisoTTS has 2,204 GitHub stars and is licensed under Custom (Open Weights). You can self-host it for free on macos, linux, windows, docker.
What platforms does Miso One / MisoTTS support?
Miso One / MisoTTS runs on macos, linux, windows, docker.
What hardware do I need for Miso One / MisoTTS?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Miso One / MisoTTS has 2,204 GitHub stars and an active community.
Does Miso One / MisoTTS support GPU acceleration?
Miso One / MisoTTS supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to Miso One / MisoTTS?
Popular alternatives include other tts-stt tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does Miso One / MisoTTS cost?
Miso One / MisoTTS is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware
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