Automatic modelling of perceptual judges in the context of head and neck cancer speech intelligibility
Background Perceptual measures such as speech intelligibility are known to be biased,
variant and subjective, to which an automatic approach has been seen as a more reliable …
variant and subjective, to which an automatic approach has been seen as a more reliable …
SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers
Perceptual measures, such as intelligibility and speech disorder severity, are widely used in
the clinical assessment of speech disorders in patients treated for oral or oropharyngeal …
the clinical assessment of speech disorders in patients treated for oral or oropharyngeal …
Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
M Maisonneuve, C Fredouille, M Lalain, A Ghio… - arXiv preprint arXiv …, 2024 - arxiv.org
Head and Neck Cancers (HNC) significantly impact patients' ability to speak, affecting their
quality of life. Commonly used metrics for assessing pathological speech are subjective …
quality of life. Commonly used metrics for assessing pathological speech are subjective …