title: Predicting the intelligibility of vocoded and wideband Mandarin Chinese.
abstract: Due to the limited number of cochlear implantees speaking Mandarin Chinese, it is extremely difficult to evaluate new speech coding algorithms designed for tonal languages. Access to an intelligibility index that could reliably predict the intelligibility of vocoded (and non-vocoded) Mandarin Chinese is a viable solution to address this challenge. The speech-transmission index (STI) and coherence-based intelligibility measures, among others, have been examined extensively for predicting the intelligibility of English speech but have not been evaluated for vocoded or wideband (non-vocoded) Mandarin speech despite the perceptual differences between the two languages. The results indicated that the coherence-based measures seem to be influenced by the characteristics of the spoken language. The highest correlation (r = 0.91-0.97) was obtained in Mandarin Chinese with a weighted coherence measure that included primarily information from high-intensity voiced segments (e.g., vowels) containing F0 information, known to be important for lexical tone recognition. In contrast, in English, highest correlation was obtained with a coherence measure that included information from weak consonants and vowel/consonant transitions. A band-importance function was proposed that captured information about the amplitude envelope contour. A higher modulation rate (100 Hz) was found necessary for the STI-based measures for maximum correlation (r = 0.94-0.96) with vocoded Mandarin and English recognition.
authors.affiliation: Department of Electrical Engineering, EC 33, University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas 75083-0688, USA.
authors.forename: Fei
authors.initials: F
authors.lastname: Chen
authors.forename: Philipos C
authors.initials: PC
authors.lastname: Loizou
mesh_terms: D000328:Adult; D000465:Algorithms; D002681:China; D003054:Cochlear Implants; D003463:Cues; D004867:Equipment Design; D005260:Female; D006801:Humans; D007802:Language; D008297:Male; D009622:Noise; D010469:Perceptual Distortion; D010470:Perceptual Masking; D010700:Phonetics; D010898:Pitch Perception; D013061:Speech Acoustics; D013065:Speech Intelligibility; D055815:Young Adult