About Higgs TTS
Higgs TTS is a high-performance text-to-speech system developed by the Boson AI Team. It is designed to meet the demands of live voice chat applications, where response latency and conversational expression are critical factors.
Beyond Reading, Toward Real Speech
Traditional text-to-speech systems are built to convert written documents into audio format. This works for reading books or long articles, but fails to capture the interactive flow of human conversation. Live conversation requires speech that is not just the final step after text generation. It is how the agent answers, reacts, pauses, emphasizes, and manages the turn.
Higgs TTS is built for this setting. It retains the operational reliability of a production-ready system, but is optimized to speak model responses in the moment. It produces speech with the timing, speed variations, and expressions that make virtual voice assistants feel natural and communicative.
Primary Features
- Direct Text Stream Control: Adjust emotion, style, speed, pitch, pauses, and sound effects mid-utterance using inline tags embedded in the input stream.
- Zero-Shot Voice Cloning: Generate custom voice outputs based on a short audio reference file, avoiding model training.
- Broad Language Support: Delivers low word and character error rates across 100+ languages.
- Local Inference Support: Serve the model locally using SGLang-Omni to maintain full infrastructure control.
Our Mission
The Boson AI Team is committed to improving human-computer interfaces. By treating speech generation as an interactive text stream rather than a static conversion task, we give developers the tools they need to build conversational voice agents.
Note: This is an educational demonstration page for Higgs TTS. All metrics and capabilities are based on public benchmarks and official developer releases.