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CSM (Conversational Speech Model) - AI Audio Models Tool

Overview

CSM is a conversational speech generation model from SesameAILabs that produces RVQ audio codes from text and audio inputs. It uses a Llama backbone for language processing and a specialized audio decoder to produce Mimi audio codes for interactive conversational speech synthesis.

Key Features

  • Generates RVQ audio codes from text and audio inputs
  • Uses a Llama backbone for language processing
  • Specialized audio decoder that produces Mimi audio codes
  • Enables interactive conversational speech synthesis
  • Open GitHub repository with model code and examples

Ideal Use Cases

  • Prototype conversational voice assistants
  • Build multimodal chatbots with speech responses
  • Research speech code representations and decoding
  • Integrate generated audio codes into downstream vocoders

Getting Started

  • Visit the GitHub repository linked in the project metadata
  • Read the README and implementation notes
  • Clone the repository to your local environment
  • Install the repository dependencies
  • Prepare text and audio inputs for model inference
  • Run example scripts to generate RVQ and Mimi audio codes
  • Integrate outputs with your audio decoder or vocoder pipeline

Pricing

No pricing information is provided in the repository; project is hosted on GitHub.

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
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