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Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Full-duplex speech-to-speech (S2S) models enable natural conversational AI by allowing simultaneous listening and speaking. However, these models typically lack inherent user speech transcription, which is essential for applications such as conversation logging, accessibility features, and quality monitoring. In this work, we propose an efficient method to add streaming ASR capabilities to an exis

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#44 most recent of 186 cs.CL papers we have recorded · ↑ newer: EvoOntology: A Self-Evolving Ontology Layer for Data Agents · ↓ older: Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR
Cite this page: Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models: the #44 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/enabling-streaming-user-transcription-in-full-duplex-speech-to-speech-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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