activity
20162026
most citedThe VoicePrivacy 2020 Challenge: Results and findings

106 citations · 315 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.SD2026

CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound

Marcel Gibier, Thomas Thebaud, Olivier Boëffard +1

Automatic audio scene description turns a recording into a text account of a situation. One difficulty is deciding which elements of the audio should be kept, since a description c…

cs.SD2025

Audio Question Answering with GRPO-Based Fine-Tuning and Calibrated Segment-Level Predictions

Marcel Gibier, Nolwenn Celton, Raphaël Duroselle +3

In this report, we describe our submission to Track 5 of the DCASE 2025 Challenge for the task of Audio Question Answering(AQA). Our system leverages the SSL backbone BEATs to extr…

cs.SD2025

Segmentwise Pruning in Audio-Language Models

Marcel Gibier, Raphaël Duroselle, Pierre Serrano +2

Recent audio-language models have shown impressive performance across a wide range of audio tasks and are increasingly capable of handling long audio inputs. However, the computing…

cs.SD2025

Improving Out-of-Domain Audio Deepfake Detection via Layer Selection and Fusion of SSL-Based Countermeasures

Pierre Serrano, Raphaël Duroselle, Florian Angulo +2

Audio deepfake detection systems based on frozen pre-trained self-supervised learning (SSL) encoders show a high level of performance when combined with layer-weighted pooling meth…

cs.SD2023

SynVox2: Towards a privacy-friendly VoxCeleb2 dataset

Xiaoxiao Miao, Xin Wang, Erica Cooper +5

The success of deep learning in speaker recognition relies heavily on the use of large datasets. However, the data-hungry nature of deep learning methods has already being question…

cs.SD2016★ 5 cited

LIA system description for NIST SRE 2016

Mickael Rouvier, Pierre-Michel Bousquet, Moez Ajili +3

This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-th…