Boson AI launches Higgs Audio v3
Boson AI has launched Higgs Audio v3, a 4B parameter text-to-speech model built on a Qwen3-4B backbone and optimized for real-time conversational streaming and zero-shot cloning across 100+ languages. The model supports inline style tags for prosody and emotion control, and integrates with the newly released SGLang-Omni inference framework for low-latency deployment.
Conversational voice AI is transitioning from slow, turn-based systems to low-latency, continuous streaming, making Higgs Audio v3 and SGLang-Omni crucial for realistic real-time agents.
* Integrating with SGLang-Omni allows Higgs Audio v3 to begin speech synthesis before a sentence finishes, resolving a critical latency bottleneck.
* Granular inline tags enable developers to dynamically control speaker emotions and sound effects, making applications feel far more interactive.
* Releasing weights under a non-commercial research license drives community adoption while retaining commercial monetization for Boson AI.
DISCOVERED
1h ago
2026-06-07
PUBLISHED
1h ago
2026-06-07
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AI Search