4 papers
What Does a Pathological Speech Assessment Model Know about Acoustic Features? A Case Study on Oral and Oropharyngeal Cancer Patients
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
This work investigates the interpretability of a Wav2Vec 2.0based speech intelligibility assessment model for oral and oropharyngeal cancer patients through canonical correlation a…
Exploring ASR-Based Wav2Vec2 for Automated Speech Disorder Assessment: Insights and Analysis
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
With the rise of SSL and ASR technologies, the Wav2Vec2 ASR-based model has been fine-tuned for automated speech disorder quality assessment tasks, yielding impressive results and…
Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
Malo Maisonneuve, Corinne Fredouille, Muriel Lalain +2
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…
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
Automatic speech quality assessment has raised more attention as an alternative or support to traditional perceptual clinical evaluation. However, most research so far only gains g…