4 papers
Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application
Francois Derrida, Raphaël Duroselle, Thomas Courtat +1
Domain Generalization (DG) aims to develop models that remain robust to conditions unseen during training. While DG has been systematically studied in computer vision through contr…
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…
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…
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…