Geoffroy Vanderreydt — accepted AI-conference papers

2025

Weakly Supervised Phonological Features for Pathological Speech Analysis

Jenthe Thienpondt, Geoffroy Vanderreydt, Abdessalem Hammami, Kris Demuynck

ICASSP 2025accepted

Paralinguistic properties of speech are essential in analyzing and choosing optimal treatment options for patients with speech disorders. However, automatic modeling of these characteristics is difficult due to the lack of labeled speech datasets describing paralinguistic properties, especially at t…

Cited by 0 Source ↗Scholar ↗

2024

Fine-Tuning Self-Supervised Models for Language Identification Using Orthonormal Constraint

Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth R. Madikeri, Petr Motlícek +1

ICASSP 2024accepted

Self-supervised models trained with high linguistic diversity, such as the XLS-R model, can be effectively fine-tuned for the language recognition task. Typically, a back-end classifier followed by statistics pooling layer are added during training. Commonly used back-end classifiers require a large…

Cited by 7 Source ↗Scholar ↗