activity
20212026
most citedMusic Demixing Challenge 2021

63 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Linguistically Informed Evaluation of Multilingual ASR for African Languages

Fei-Yueh Chen, Lateef Adeleke, C. M. Downey

Word Error Rate (WER) mischaracterizes ASR models' performance for African languages by combining phonological, tone, and other linguistic errors into a single lexical error. By co…

cs.CL2025

Aligning Spoken Dialogue Models from User Interactions

Anne Wu, Laurent Mazaré, Neil Zeghidour +1

We propose a novel preference alignment framework for improving spoken dialogue models on real-time conversations from user interactions. Current preference learning methods primar…

cs.CL2023★ 7 cited

Textually Pretrained Speech Language Models

Michael Hassid, Tal Remez, Tu Anh Nguyen +9

Speech language models (SpeechLMs) process and generate acoustic data only, without textual supervision. In this work, we propose TWIST, a method for training SpeechLMs using a war…

cs.SD2022

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain

Dejan Markovic, Alexandre Defossez, Alexander Richard

We present a single-stage casual waveform-to-waveform multichannel model that can separate moving sound sources based on their broad spatial locations in a dynamic acoustic scene.…

eess.AS2021★ 63 cited

Music Demixing Challenge 2021

Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich +6

Music source separation has been intensively studied in the last decade and tremendous progress with the advent of deep learning could be observed. Evaluation campaigns such as MIR…