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Development of the computerized Cantonese disyllabic lexical tone identification test in noise (CANDILET-N)
Kevin C P Yuen1, Ka Wai Pang, Michael C F Tong
1Institute 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
Abstract:
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.
