activity
20232026
most citedStreaming Sequence-to-Sequence Learning with Delayed Streams Modeling

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 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.CL2025★ 1 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…

eess.AS2024

MAD Speech: Measures of Acoustic Diversity of Speech

Matthieu Futeral, Andrea Agostinelli, Marco Tagliasacchi +2

Generative spoken language models produce speech in a wide range of voices, prosody, and recording conditions, seemingly approaching the diversity of natural speech. However, the e…

econ.GN2023

Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach

Eugene Kharitonov, Oksana Zakharchuk, Lin Mei

This study investigates the long-term effects of temperature variations on economic growth using a data-driven approach. Leveraging machine learning techniques, we analyze global l…