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DuplexGen framework generates synthetic dialogue speech with emergent timing

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced DuplexGen, a novel framework for generating synthetic dialogue speech that decouples content, timing, and acoustics. Unlike traditional methods that pre-script conversational timing, DuplexGen uses a large language model to generate a script, followed by two full-duplex conversational models that interact in real-time. This approach allows conversational timing to emerge organically while maintaining the scripted content. A high-fidelity text-to-speech model then renders the final audio without altering the emergent timing, resulting in more natural conversational dynamics. AI

IMPACT This framework could lead to more realistic synthetic voices for virtual assistants and conversational AI systems.

RANK_REASON The cluster contains an academic paper detailing a new method for synthetic speech generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DuplexGen framework generates synthetic dialogue speech with emergent timing

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The cluster contains an academic paper detailing a new method for synthetic speech generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Pengcheng Wang, Sheng Li, Jiyi Li, Takahiro Shinozaki ·

    DuplexGen: Decoupling Content, Timing, and Acoustics for Synthetic Dialogue Speech

    arXiv:2608.16053v1 Announce Type: new Abstract: Synthetic conversational speech has become an important resource for developing and evaluating conversational speech systems. However, existing dialogue synthesis pipelines typically generate dialogue content first and then insert i…

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