VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents
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Electrical Engineering and Systems Science > Audio and Speech Processing
arXiv:2608.13831 (eess)
[Submitted on 13 Aug 2026]
Title:VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents
Authors:Edresson Casanova, Jaehyeon Kim, Mariana Graterol Fuenmayor, Shehzeen Hussain, Viacheslav Klimkov, Valentin Mendelev, Mikyas Desta, Paarth Neekhara, Piotr Zelasko, Chen Chen, Elena Rastorgueva, Ke Hu, Ankita Pasad, Xuesong Yang, Aya Alja'fari, Rajarshi Roy, Rohan Badlani, Jason Roche, Jason Li, Zhehuai Chen
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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.
| Subjects: | Audio and Speech Processing (eess.AS); Computation and Language (cs.CL) |
| Cite as: | arXiv:2608.13831 [eess.AS] |
| (or arXiv:2608.13831v1 [eess.AS] for this version) | |
| https://doi.org/10.48550/arXiv.2608.13831
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents, by Edresson Casanova and 19 other authors
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