title: Automatic intelligibility assessment of pathologic speech over the telephone.
abstract: Objective assessment of intelligibility on the telephone is desirable for voice and speech assessment and rehabilitation. A total of 82 patients after partial laryngectomy read a standardized text which was synchronously recorded by a headset and via telephone. Five experienced raters assessed intelligibility perceptually on a five-point scale. Objective evaluation was performed by support vector regression on the word accuracy (WA) and word correctness (WR) of a speech recognition system, and a set of prosodic features. WA and WR alone exhibited correlations to human evaluation between |r| = 0.57 and |r| = 0.75. The correlation was r = 0.79 for headset and r = 0.86 for telephone recordings when prosodic features and WR were combined. The best feature subset was optimal for both signal qualities. It consists of WR, the average duration of the silent pauses before a word, the standard deviation of the fundamental frequency on the entire sample, the standard deviation of jitter, and the ratio of the durations of the voiced sections and the entire recording.
authors.affiliation: Pattern Recognition Lab (Computer Science 5), University of Erlangen-Nuremberg, Erlangen, Germany. Tino.Haderlein@informatik.uni-erlangen.de
authors.forename: Tino
authors.initials: T
authors.lastname: Haderlein
authors.forename: Elmar
authors.initials: E
authors.lastname: Nöth
authors.forename: Anton
authors.initials: A
authors.lastname: Batliner
authors.forename: Ulrich
authors.initials: U
authors.lastname: Eysholdt
authors.forename: Frank
authors.initials: F
authors.lastname: Rosanowski
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001331:Automation; D016000:Cluster Analysis; D005260:Female; D005858:Germany; D006801:Humans; D007825:Laryngectomy / Q000009:adverse effects*; D008297:Male; D008390:Markov Chains; D008875:Middle Aged; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013061:Speech Acoustics; D013065:Speech Intelligibility; D013067:Speech Perception; D013068:Speech Production Measurement; D049250:Speech Recognition Software; D013071:Speech, Alaryngeal; D060388:Support Vector Machine; D013689:Telephone; D013997:Time Factors; D014833:Voice Quality