boson-ai/higgs-audio
Text-audio foundation model from Boson AI observed · 2026-08-28
Health v2 · maintenance only
57/100
- Activity 86
- Release rhythm 35
- Longevity 29
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 409
- days_rel: n/a
- days_push: 89
- n_releases_24m: 0
Adoption not part of the score
8329 stars · 640 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Higgs Audio is a text-audio foundation model project from Boson AI providing code and weights for conversational text-to-speech with zero-shot voice cloning and prosody control. The repository now serves as the home for the legacy v2/v2.5 models, since Higgs Audio v3 is released separately as standalone weights and a hosted API.
Use cases
- generate natural speech from text
- clone a voice from a short audio sample
- build a conversational voice assistant with expressive TTS
- self-host a TTS model on GPU with streaming output
- control emotion and prosody inline in generated speech
- synthesize speech in many languages
When to choose
- you want open weights for expressive, conversational TTS you can self-host
- you need zero-shot voice cloning without fine-tuning
- you want multilingual speech generation with style control
- you're researching text-audio foundation models
When to avoid
- you want the latest Higgs Audio v3 model - use the separate v3 release or hosted API instead
- you need a commercial production license without negotiating with Boson AI
- you have no GPU and don't want to use the hosted API
- you need lightweight on-device TTS
Facets
library · maturity maintenance
tts speech-recognition llm-inference machine-learning speech-processing artificial-intelligence large-language-models python self-hosted text-to-speech voice-cloning audio-foundation-model conversational-tts multilingual open-weights audio gpu linux
1 source
- readme: https://github.com/boson-ai/higgs-audio · fetched 2026-08-28 · adb934fcefd3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| boson-ai/higgs-audio | main | 57 |
For agents
markdown · JSON · MCP: product_card(name="boson-ai/higgs-audio")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem