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CSM (Conversational Speech Model) - AI Audio Models Tool

Overview

CSM (Conversational Speech Model) is a conversational speech generation model from SesameAILabs. It generates RVQ audio codes from text and audio inputs using a Llama backbone 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 produces Mimi audio codes
  • Designed for interactive conversational speech synthesis
  • Source code and artifacts hosted on GitHub

Ideal Use Cases

  • Build conversational voice agents
  • Synthesize speech from combined text and audio prompts
  • Research and prototype speech generation techniques
  • Integrate conversational speech into applications and services

Getting Started

  • Visit the project's GitHub repository
  • Read the repository README and documentation
  • Clone the repository to your environment
  • Install the project's dependencies
  • Prepare text and optional audio prompts
  • Run the model to generate RVQ audio codes
  • Use the audio decoder to obtain Mimi audio codes

Key Information

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