RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue
Real-time spoken dialogue systems face a fundamental tension between latency and response quality. End-to-end speech-to-speech (S2S) models respond immediately and naturally handle turn-taking, backchanneling, and interruption, but produce semantically weaker outputs. Cascaded pipelines (ASR -> LLM) deliver stronger responses at the cost of latency that grows with model size. We present RelayS2S, a hybrid architecture that runs two paths in parallel upon turn detection. The fast path - a duplex S2S model - speculatively drafts a short response prefix that is streamed immediately to TTS for low-latency response onset, while continuing to monitor live audio events. The slow path - a cascade...
| Authors | Long Mai, Junli Liang |
|---|---|
| Primary category | cs.AI |
| Published | 24 March 2026 |
| Last updated at source | 9 September 2026 |
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- mailong225/speech_to_speechDataset
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