Background: Head and neck cancers (HNCs) and their treatment may cause oral function
impairment. Purpose: This study was designed to identify oral dysfunction in patients …

The popularity of Deep Neural Networks (DNNs) is growing significantly, and so is the
interest in gaining a better understanding of their functioning. In this work, it is even more …

Background Speech disorders impact quality of life for patients treated with oral cavity and
oropharynx cancers. However, there is a lack of uniform and applicable methods for …

Objective The aim of this study was to identify the symptom burden of perioperative oral
cancer patients, its trajectory, and the factors influencing it. Methods A longitudinal, repeated …

In this paper, we build and compare multiple speech systems for the automatic evaluation of
the severity of a speech impairment due to oral cancer, based on spontaneous speech. To …

Les troubles de parole sont une problématique fréquemment rencontrée après traitement
d'un cancer de la cavité buccale ou de l'oropharynx. Mais peu d'études s' intéressent à …

This paper sheds light on a relatively unexplored area which is deep learning interpretability
for speech disorder assessment and characterization. Building upon a state-of-the-art …

Background Acute and late toxicities in patients treated with (chemo) radiotherapy for head
and neck cancer (HNC) is common and can negatively impact quality of life and …

Hintergrund: In den letzten Jahren werden vermehrt die Beziehungen zwischen operativer
Tumortherapie und Inzidenz von Ängstlichkeit und Depressionen diskutiert. Diese …

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 …