2023
Towards Reducing Patient Effort for the Automatic Prediction of Speech Intelligibility in Head and Neck Cancers
ICASSP 2023accepted
The automatic prediction of speech intelligibility can be seen as a growing and relevant alternative to the perceptual evaluations used clinically, which are known to be biased, variant and subjective. We propose an automatic way to regress an intelligibility score based on a recurrent model with a…