Development of the computerized Cantonese disyllabic lexical tone identification test in noise (CANDILET-N).
CANDILET-N is a closed-set speech-recognition test to assess lexical tone recognition in noise for Cantonese speakers. The test consists of 60 test items in a four-alternative forced-choice test paradigm, with male and female speaker versions. Each test plate consists of two disyllabic-word lexical tone minimal pair test items and their respective phonemic distracters. Psychometric performance SNR (signal-to-noise ratio) functions from 26 normal hearing adult subjects were fitted to a logistic regression model to obtain the SNR for 50% correct score (SNR-50%) for individual test items. The mean SNR-50% of the 60 test items for the female and male test sets were -10.3 dB and -11.1 dB, respectively. The SNR-50% varies across test items and their SNR need to be adjusted to improve the homogeneity among them.
Yuen
Kevin C P
KC
Institute of Human Communicative Research and Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China. kevinyuen@ent.cuhk.edu.hk
Pang
Ka Wai
KW
Tong
Michael C F
MC
Van Hasselt
Charles A
CA
Yuan
Meng
M
Lee
Tan
T
Soli
Sigfrid D
SD
D000328:Adult; D002681:China; D005260:Female; D006801:Humans; D008297:Male; D013063:Speech Discrimination Tests; D013067:Speech Perception; D014825:Vocabulary; D055815:Young Adult