activity
20242026
most citedMoshi: a speech-text foundation model for real-time dialogue

8 citations · 9 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2026

Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models

Atsumoto Ohashi, Neil Zeghidour, Alexandre Défossez +1

Full-duplex spoken dialogue models can listen and speak simultaneously, making them a promising architecture for natural conversation. However, current models are trained solely wi…

cs.CL2026

MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models

Chung-Ming Chien, Manu Orsini, Eugene Kharitonov +3

Speech-to-speech language models have recently emerged to enhance the naturalness of conversational AI. In particular, full-duplex models are distinguished by their real-time inter…

cs.SD2026

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

Tsai-Ning Wang, Herman Teun den Dekker, Lin-Lin Chen +2

Automated respiratory audio analysis promises scalable, non-invasive disease screening, yet progress is limited by scarce labeled data and costly expert annotation. Zero-shot infer…

cs.CL2026

Simultaneous Speech-to-Speech Translation Without Aligned Data

Tom Labiausse, Romain Fabre, Yannick Estève +2

Simultaneous speech translation requires translating source speech into a target language in real-time while handling non-monotonic word dependencies. Traditional approaches rely o…

cs.CL20251 cited

Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling

Neil Zeghidour, Eugene Kharitonov, Manu Orsini +6

We introduce Delayed Streams Modeling (DSM), a flexible formulation for streaming, multimodal sequence-to-sequence learning. Sequence-to-sequence generation is often cast in an off…

cs.SD2025

Continuous Audio Language Models

Simon Rouard, Manu Orsini, Axel Roebel +2

Audio Language Models (ALM) have emerged as the dominant paradigm for speech and music generation by representing audio as sequences of discrete tokens. Yet, unlike text tokens, wh…