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Intelligibility detection of pathological speech using asymmetric sparse kernel partial least squares classifier
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pathological speech usually refers to the voice disorders resulting from atypicalities in voice and/or in the articulatory mechanisms due to disease, illness or other physical problem in the speech production system. It may increase unhealthy social behavior and voice abuse, and dramatically affect the patients' quality of life. Therefore, automatic intelligibility detection of pathological speech has an important role in the opportune treatment of pathological voices. This paper proposes to
doi:10.1109/icassp.2014.6854301
dblp:conf/icassp/HuangDL14
fatcat:55omhytvmbc47ns5jkq5ox2ivq