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boson-ai/higgs-audio

Text-audio foundation model from Boson AI observed · 2026-08-28

github.com/boson-ai/higgs-audio · Python · Apache-2.0 (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
boson-ai/higgs-audiomain57

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