May 10, 2019
Learning to Detect Dysarthria from Raw Speech
International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech classifiers of paralinguistic traits traditionally learn from diverse hand-crafted low-level features, by selecting the relevant information for the task at hand. We explore an alternative to this selection, by learning jointly the classifier, and the feature extraction.
By: Juliette Millet, Neil Zeghidour
Facebook AI Research
Natural Language Processing & Speech