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AudioGPT

by Community

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

A

OSS

AudioGPT

Added 1 June 2026

#audio #gpt #music #sound #speech #talking-head

Overview

AudioGPT is an open-source orchestration system that connects ChatGPT with a variety of audio foundation models to handle speech, music, sound, and talking head tasks. It uses a series of models to process user requests and coordinate outputs, enabling both understanding and generation of audio content.

Best for

Best for
Developers and researchers who need a flexible orchestrator for combining multiple audio AI models

Use cases

  • Building custom audio processing pipelines with multiple specialized models
  • Generating speech, music, or sound effects based on natural language prompts
  • Creating talking head animations with synchronized audio and video

Notes

AudioGPT is an open-source orchestration system that connects ChatGPT with a variety of audio foundation models to handle speech, music, sound, and talking head tasks. It uses a series of models to process user requests and coordinate outputs, enabling both understanding and generation of audio content.

10,179 stars on GitHub. Last updated 2024-07-06.

Use cases

  • Building custom audio processing pipelines with multiple specialized models
  • Generating speech, music, or sound effects based on natural language prompts
  • Creating talking head animations with synchronized audio and video

Pros

  • Large community trust with over 10,000 GitHub stars
  • Open source and written in Python for easy integration
  • Covers a wide range of audio modalities in one system

Cons

  • Requires setting up and managing multiple external models and APIs
  • Dependency on ChatGPT API and separate model services
  • May have limited documentation or polish typical of community projects

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Large community trust with over 10,000 GitHub stars
  • Open source and written in Python for easy integration
  • Covers a wide range of audio modalities in one system

Cons

  • Requires setting up and managing multiple external models and APIs
  • Dependency on ChatGPT API and separate model services
  • May have limited documentation or polish typical of community projects