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FireRedChat - A Full-Duplex Voice Interaction System Launched by Xiaohongshu

Author: AI小集 · Original source: AI工具集

What is FireRedChat

FireRedChat is a full-duplex voice interaction system developed by the Xiaohongshu Smart Audio Team, featuring real-time two-way conversation capabilities and support for controllable interruption. It adopts a modular design, including a transcription control module, interaction module, and dialogue manager, etc., supports cascaded and semi-cascaded architectures, and can be flexibly deployed. The system implements real-time communication based on the LiveKit RTC Server, works with the AI-Agent Bot Server to handle intelligent agent responses, and provides a user interaction interface through the WebUI. It is equipped with a Redis Server to support multi-node hosting, as well as TTS and ASR Servers to handle speech synthesis and automatic speech recognition respectively.

FireRedChat

Main Features of FireRedChat

  • Full-Duplex Voice Interaction: Supports real-time two-way conversation between users and AI agents, allowing both parties to speak simultaneously and enabling controllable interruption, improving interaction fluency.
  • Privacy Protection and Private Deployment: The system supports full self-hosting and does not rely on external APIs, ensuring data security, and users can independently control the deployment environment.
  • Modular Design: Composed of multiple modules, including transcription control, interaction module, and dialogue manager, etc., supporting flexible cascaded and semi-cascaded architectures, making customization and expansion easy.
  • Low-Latency Communication: Implements real-time communication based on the LiveKit RTC Server, paired with efficient processing modules to ensure low-latency interaction, approaching industrial-grade standards.
  • Voice Activity Detection and Semantic Analysis: Uses streaming personalized voice activity detection (pVAD) and end-of-turn detection (EoT) to effectively suppress background noise, accurately mark the main speaker's voice segments, and improve the user's interruption success rate and the naturalness of the conversation.

Technical Principles of FireRedChat

  • Real-Time Communication Technology: Uses the LiveKit RTC Server as the core to achieve low-latency real-time audio/video communication and support simultaneous interaction among multiple users.
  • Intelligent Agent Response: Processes user input through the AI-Agent Bot Server and, combined with natural language processing technology, generates intelligent and natural voice responses.
  • Speech Recognition and Synthesis: Integrates the ASR Server to implement automatic speech recognition and convert user speech into text; the TTS Server converts the agent's text responses into voice output.
  • Voice Activity Detection: Uses streaming personalized voice activity detection (pVAD) technology to accurately identify the main speaker's voice segments and suppress background noise and non-target speakers.
  • End-of-Turn Detection: Determines whether the user has finished speaking through semantic analysis, avoiding misjudgments caused by speech pauses and improving the naturalness of the interaction.
  • Modular Architecture: The system is composed of multiple independent modules that work together, support flexible cascaded and semi-cascaded deployment, and are easy to expand and maintain.
  • Data Persistence and Hosting: Uses the Redis Server to implement cross-instance data persistence, support multi-node hosting, and ensure the system's high availability and stability.

Project Address of FireRedChat

  • Gtihub Repository：https://github.com/FireRedTeam/FireRedChat
  • arXiv Technical Paper：https://arxiv.org/pdf/2509.06502
  • Online Experience：https://fireredteam.github.io/demos/firered_chat

Application Scenarios of FireRedChat

  • Intelligent Customer Service: Provides users with real-time voice support, quickly responds to customer questions, and improves service efficiency and customer satisfaction.
  • Virtual Assistant: In scenarios such as smart homes and smart offices, it serves as the core of voice interaction, enabling device control, information queries, and other functions.
  • Education Sector: Used in online education platforms to provide real-time voice interactive teaching and enhance the learning experience.
  • Financial Industry: In scenarios such as financial consulting and trading assistance, it provides secure and efficient voice interaction services.
  • Healthcare: Assists with medical consultations, remote diagnosis, and more, improving the convenience of medical services through voice interaction.
  • Government Affairs Sector: In scenarios such as government hotlines and public services, it provides intelligent voice services to improve government efficiency.