Search Results for author:
Found 2 papers, 0 papers with code
Enhancing dysarthria speech feature representation with empirical mode decomposition and Walsh-Hadamard transform
This algorithm effectively addresses the challenges of the imbalanced dataset and non-linearity in dysarthric speech and simultaneously provides a robust representation of the local pathological features of the vocal folds and tracts.
Design, construction and evaluation of emotional multimodal pathological speech database
The automatic recognition tested on speech and glottal data, with average accuracy of 78% for controls and 60% for patients in audio, while 51% for controls and 38% for patients in glottal data, indicating an influence of the disease on emotional expression.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
