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LatestBosonai2.0
BosonaiText → Speech

Boson AI Releases Higgs Audio v2 for Expressive TTS

The new 3-billion-parameter model focuses on generating expressive, multilingual speech and is fully open for commercial use under an Apache 2.0 license.

Jul 1, 2025
NotableOther
Higgs Audio v2 (3B)

Boson AI has introduced Higgs Audio v2, a new open-source model for text-to-speech and audio generation. With three billion parameters, the model is designed to produce expressive and natural-sounding voices across multiple languages, adding a notable new entry to the competitive audio synthesis landscape.

The release is significant not just for its scale but also for its accessibility. Higgs Audio v2 is available under a permissive Apache 2.0 license, clearing the way for both research and commercial applications. This makes it a compelling alternative to proprietary APIs, offering developers a powerful foundation for building custom audio-centric features.

A Focus on Expressive Synthesis

According to Boson AI, the model specializes in "expressive voice synthesis," aiming for a higher degree of nuance and emotion in its output compared to more monotonic TTS systems. This capability is crucial for applications requiring more natural human-like speech, such as:

  • Dynamic character voices in gaming and entertainment
  • Engaging narration for audiobooks and podcasts
  • More sophisticated and personable virtual assistants

The Higgs Audio v2 base model is now available on Hugging Face, allowing the community to begin experimenting with its capabilities and fine-tuning it for specific use cases.

Sources

  • bosonai/higgs-audio-v2-generation-3B-base

    Hugging Face

    Visit
OlderKyutai Releases 1.6B Bilingual TTS ModelKyutai · Text → Speech · last yearNewerByteDance Releases Tar-7B for 'Any-to-Any' MultimodalityByteDance · Any-to-Any · last year

Get the model

Hugging Face

Specs

Parameters3B
Sample rate24 kHz
LanguagesEnglish, Chinese, German
PrecisionBF16
ArchitectureHiggsAudioV2ForConditionalGeneration
LicenseOTHER
Downloads17.2K
Likes693

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    7 GB
  • FP8

    Any modern laptop · 8 GB RAM

    4 GB
Your machine
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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