1 code implementation • 13 Sep 2023 • Rosanna Turrisi, Alessandro Verri, Annalisa Barla
We investigate the impact of different data augmentation techniques and model complexity on the overall performance.
1 code implementation • 13 Sep 2023 • Rosanna Turrisi
This work proposes a novel approach to text categorization -- for unknown categories -- in the context of scientific literature, using Natural Language Processing techniques.
no code implementations • 14 Mar 2022 • Rosanna Turrisi, Leonardo Badino
Based on the similarity between the target speaker and the healthy/dysarthric source speakers, we then define the healthy/dysarthric score of the target speaker that we leverage to perform dysarthria detection.
no code implementations • 6 Apr 2021 • Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti, Mariachiara Sensi, Luciano Fadiga, Leonardo Badino
The corpus aims at providing a resource for the development of ASR-based assistive technologies for patients with dysarthria.
no code implementations • 6 Apr 2021 • Rosanna Turrisi, Leonardo Badino
Interestingly, MSDA-WJDOT provides a similarity score between the source and the target, i. e. between speakers in this case.
1 code implementation • 23 Jun 2020 • Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
The problem of domain adaptation on an unlabeled target dataset using knowledge from multiple labelled source datasets is becoming increasingly important.
no code implementations • 4 Sep 2018 • Rosanna Turrisi, Raffaele Tavarone, Leonardo Badino
We address the problem of reconstructing articulatory movements, given audio and/or phonetic labels.