title: An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speech.
abstract: Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for intelligibility prediction of noisy speech processed with a technique called ideal time frequency (TF) segregation. In total 17 measures are evaluated, including four advanced speech-intelligibility measures (CSII, CSTI, NSEC, DAU), the advanced speech-quality measure (PESQ), and several frame-based measures (e.g., SSNR). Furthermore, several additional measures are proposed. The study comprised a total number of 168 different TF-weightings, including unprocessed noisy speech. Out of all measures, the proposed frame-based measure MCC gave the best results (ρ = 0.93). An additional experiment shows that the good performing measures in this study also show high correlation with the intelligibility of single-channel noise reduced speech.
authors.affiliation: Delft, University of Technology, 2628 CD Delft, The Netherlands. c.h.taal@tudelft.nl
authors.forename: Cees H
authors.initials: CH
authors.lastname: Taal
authors.forename: Richard C
authors.initials: RC
authors.lastname: Hendriks
authors.forename: Richard
authors.initials: R
authors.lastname: Heusdens
authors.forename: Jesper
authors.initials: J
authors.lastname: Jensen
mesh_terms: D000161:Acoustic Stimulation; D000465:Algorithms; D001302:Audiometry, Speech; D006801:Humans; D009622:Noise / Q000009:adverse effects*; D010470:Perceptual Masking; D012815:Signal Processing, Computer-Assisted; D013065:Speech Intelligibility; D013067:Speech Perception; D013068:Speech Production Measurement; D013997:Time Factors