CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction

• URL: http://arxiv.org/abs/2506.01268v1
• Date: Mon, 02 Jun 2025 02:40:46 GMT
• Title: CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction
• Authors: Yudong Lu, Yazhe Niu, Shuai Hu, Haolin Wang,
• Abstract summary: CleanS2S is a framework human-like speech interaction that advances conversational AI single-file implementation and proactive dialogue capabilities.<n>Our system integrates automatic speech recognition language models, and text-to-speech synthesis into a unified pipeline with real-time interruption.
• Score: 2.854461601795248
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: CleanS2S is a framework for human-like speech-to-speech interaction that advances conversational AI through single-file implementation and proactive dialogue capabilities. Our system integrates automatic speech recognition, large language models, and text-to-speech synthesis into a unified pipeline with real-time interruption handling, achieving low transition latency through full-duplex websocket connections and non-blocking I/O. Beyond conventional chatbot paradigms, we pioneer a proactive interaction mechanism, which combines memory systems with Subjective Action Judgement module, enabling five human-like response strategies: interruption, refusal, deflection, silence, and standard response. The memory module dynamically aggregates historical, and contextual data to inform interaction decisions. This approach breaks the rigid turn-based convention by allowing system-initiated dialog control and context-aware response selection. And we propose Action Judgement SFT that assesses input streams for responses strategies. The framework's single-file implementation with atomic configurations offers researchers unprecedented transparency and extensibility for interaction agents. The code of CleanS2S is released at \https://github.com/opendilab/CleanS2S.

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