May 2023

Date: 2nd of May at 2:00 pm. Place: Avignon at the Centre d’Enseignement et de Recherche en Informatique (Ada Lovelace Auditorium)  The jury members: Title: Assessment of Speech Intelligibility using Deep Learning: Towards Enhanced Interpretability in Clinical Phonetics. Abstract: Speech intelligibility is an essential component of effective communication. It refers to the degree to which a speaker’s intended message can be understood by a listener. This capacity can be hampered as a consequence of speech disorders, which results in a reduced quality of life for individuals. In the case of Head and Neck Cancer (HNC), speech may be affected due to the presence of tumors in the speech production system, but the main cause of speech impairment is typically the tumor treatment including surgery, radiotherapy, chemotherapy, or a combination of these treatments. In such cases, the evaluation of speech quality is crucial to assess the communication deficit of patients and develop targeted treatment plans. In clinical practice, perceptual measures are considered the gold standard for assessing speech disorders. Although these measures are widely used, they suffer from several limitations, the most important of which is their subjectivity. Consequently, the automatic assessment of speech disorders has emerged as a promising alternative to perceptual Plus d'infos