VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents

Abstract:Spoken dialogue is a natural form of human--computer interaction, yet most speech language models remain limited to turn-based operation and lack real-time adaptability, such as user barge-in. Recent duplex speech-to-speech and speech-to-text models reduce latency by replacing multi-stage pipelines, but often compromise speech quality because accurate ASR, interruption handling, and high-fidelity synthesis must be optimized jointly. We propose VoiceChat-TTS, a low-latency, continuous, and streamable text-to-speech model for interactive agents. VoiceChat-TTS is driven directly by LLM text-token streams, supports explicit interruption via control tokens, and produces silence when no textual input is available. The model enables always-on, responsive speech generation while preserving modularity and high speech quality, and it supports mid-utterance interruptions without resetting the KV cache.

Audio and Speech Processing (eess.AS); Computation and Language (cs.CL)

arXiv:2608.13831 [eess.AS]

(or arXiv:2608.13831v1 [eess.AS] for this version)

https://doi.org/10.48550/arXiv.2608.13831 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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