PhD defense of Sondes Abderrazek – 2 May 2023

2 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

ANR RUGBI Project

1 February 2019

Searching for Linguistic Units to Improve the Measurement of Speech Intelligibility Altered by Pathological Production Disorders In the context of speech production disorders observed in ORL cancers, neurological, sensory, or structural pathologies, the goal of the RUGBI project is to enhance the measurement of intelligibility deficits. List of Partners: IRIT Institut de Recherche en Informatique de Toulouse CHU Toulouse Direction de la Recherche LPL Laboratoire Parole et Langage LIA Laboratoire d’Informatique d’Avignon OCTOGONE UNITE DE RECHERCHE INTERDISCIPLINAIRE OCTOGON Project Coordinator: Jérome Farinas (IRIT) Scientific Lead for LIA: Corinne Fredouille Period: 2019-2022 More