boson-ai/higgs-audio

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.

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