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boson-ai/higgs-audio

0
View on GitHub↗
7,919 stars·604 forks·Python·apache-2.0·45 views

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.

Star history

Star history chart for boson-ai/higgs-audioStar history chart for boson-ai/higgs-audio

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Higgs Audio

These projects share indexed features with Higgs Audio. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    VALL-E-X is a neural speech synthesis framework and zero-shot text-to-speech engine. It functions as a multilingual synthesizer capable of generating natural human speech with control over emotion, pitch, and prosody. The project specializes in zero-shot voice cloning and cross-lingual voice replication, allowing the system to produce personalized speech in multiple target languages using short audio samples without additional training. It further enables cross-language accent manipulation and the ability to match the emotional tone and acoustic environment of a provided prompt. The implemen

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Frequently asked questions

What does boson-ai/higgs-audio do?

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.

What are the main features of boson-ai/higgs-audio?

The main features of boson-ai/higgs-audio are: Neural Text-to-Speech Engines, Conversational Voice AI, Voice Cloning Tools, Zero-Shot Voice Cloning, Multilingual Speech Models, Multilingual Synthesis, Voice Cloning, Generative Audio Chunking.

Which projects share features with boson-ai/higgs-audio?

Projects with overlapping indexed features include: openbmb/voxcpm — VoxCPM is a multilingual speech synthesis system and text-to-speech inference server. It functions as an AI voice… myshell-ai/openvoice — OpenVoice is a multilingual text-to-speech framework and voice cloning AI model designed for high-fidelity voice… funaudiollm/cosyvoice — CosyVoice is a speech synthesis framework that utilizes large language models to generate expressive, multilingual… plachtaa/vall-e-x — VALL-E-X is a neural speech synthesis framework and zero-shot text-to-speech engine. It functions as a multilingual… nari-labs/dia — Dia is a generative AI audio tool and text-to-speech synthesis engine designed for the production-ready deployment of… kittenml/kittentts — KittenTTS is a neural text-to-speech engine and text-to-audio synthesis tool that converts written text into spoken…