title: Pathological voice assessment.
abstract: While there are number of guidelines and methods used in practice, there is no standard universally agreed upon system for assessment of pathological voices. Pathological voices are primarily labeled based on the perceptual judgments of specialists, a process that may result in different label(s) being assigned to a given voice sample. This paper focuses on the recognition of five specific pathologies. The main goal is to compare two different classification methods. The first method considers single label classification by assigning a new label (single label) to the ensembles to which they most likely belong. The second method employs all labels originally assigned to the voice samples. Our results show that the pathological voice assessment performance in the second method is improved with respect to the first method.
authors.affiliation: Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA 90089-1111, USA. dibazar@usc.edu
authors.forename: Alireza A
authors.initials: AA
authors.lastname: Dibazar
authors.forename: Theodore W
authors.initials: TW
authors.lastname: Berger
authors.forename: Shrikanth S
authors.initials: SS
authors.lastname: Narayanan
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013018:Sound Spectrography / Q000379:methods*; D013068:Speech Production Measurement / Q000379:methods*; D049250:Speech Recognition Software; D014832:Voice Disorders / Q000175:diagnosis*; D014833:Voice Quality