boson-ai/higgs-audio
Higgs Audio
Higgs-audio is a generative text-to-speech engine that transforms text into natural conversational speech using large language model architectures. It functions as a multilingual speech synthesizer capable of generating high-fidelity audio across different languages with control over emotional tone and prosody.
The system includes a voice cloning tool that creates synthetic replicas of specific speakers from short audio samples without requiring extensive model training. It also provides a streaming audio API designed to deliver generated speech incrementally to minimize playback delay.
The project covers a broad capability surface including real-time audio streaming, custom voice cloning, and the synthesis of conversational speech with a focus on realistic prosody and tonal control.
Features
- Neural Text-to-Speech Engines - Provides a deep learning pipeline that generates high-fidelity synthetic speech from text by modeling vocal characteristics.
- Conversational Voice AI - Provides the core engine for building interactive voice assistants with human-like prosody and tonal control.
- Voice Cloning Tools - Ships a machine learning pipeline for creating high-quality synthetic voice replicas from custom audio recordings.
- Zero-Shot Voice Cloning - Replicates target speaker voices from short audio samples without requiring additional model training or fine-tuning.
- Multilingual Speech Models - Generates high-fidelity audio across various languages using a language-agnostic generation platform.
- Multilingual Synthesis - Synthesizes natural-sounding spoken audio across multiple languages within a single generative system.
- Voice Cloning - Replicates specific human vocal characteristics from audio samples to create personalized synthetic digital replicas.
- Generative Audio Chunking - Sequentially yields audio waveform chunks during the generation process to enable immediate playback and reduced latency.
- LLM-Based Engines - Transforms text into natural conversational speech using large language model architectures.
- Conversational Audio Streams - Delivers generated speech to clients incrementally as a real-time processing pipeline for voice interaction.
- Prosody Controls - Offers controls for adjusting the emotional tone, speed, and prosody of synthesized conversational speech.
- Cross-Lingual Voice Transfer - Maps multiple languages into a shared representation to apply a single voice identity across different languages.
- Audio Streaming Engines - Provides a low-latency interface for distributing generated audio streams to multiple clients.
- Real-time Synthesis Streaming - Streams synthetic audio as a continuous flow to minimize playback delay in real-time conversations.
- Speech Processing - Audio generation and synthesis framework.
- Speech Synthesis - Speech synthesis and audio processing framework.
