Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders - Step 1: CNN Model-Based Phone Classification. - Sondes Abderrazek; Corinne Fredouille; Alain Ghio; Muriel Lalain; Christine Meunier; Virginie Woisard (INTERSPEECH, 2020)

Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits. - Sondes Abderrazek; Corinne Fredouille; Alain Ghio; Muriel Lalain; Christine Meunier; Virginie Woisard (ICASSP, 2022)

Validation of the Neuro-Concept Detector framework for the characterization of speech disorders: A comparative study including Dysarthria and Dysphonia. - Sondes Abderrazek; Corinne Fredouille; Alain Ghio; Muriel Lalain; Christine Meunier; Virginie Woisard (INTERSPEECH, 2022)

Interpreting Deep Representations of Phonetic Features via Neuro-Based Concept Detector: Application to Speech Disorders Due to Head and Neck Cancer. - Sondes Abderrazek; Corinne Fredouille; Alain Ghio; Muriel Lalain; Christine Meunier; Virginie Woisard (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Assessment of Speech Intelligibility using Deep Learning - Towards Enhanced Interpretability in Clinical Phonetics: Application to speech disorders due to Head and Neck Cancers. (Évaluation de l'intelligibilité de la parole par apprentissage profond - Vers plus d'interprétabilité en phonétique clinique). - Sondes Abderrazek (2023)

Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers. - Sondes Abderrazek; Corinne Fredouille; Alain Ghio; Muriel Lalain; Christine Meunier; Mathieu Balaguer; Virginie Woisard (LREC/COLING, 2024)