Development of the computerized Cantonese Disyllabic Lexical Tone Identification Test in Noise (CANDILET-N)

✍ Scribed by Kevin C P Yuen; Ka Wai Pang; Michael C F Tong; Charles A Van Hasselt; Meng Yuan; Tan Lee; Sigfrid D Soli

• Publisher: John Wiley and Sons
• Year: 2009
• Tongue: English
• Weight: 250 KB
• Volume: 10
• Category: Article
• ISSN: 1467-0100
• DOI: 10.1002/cii.406

✦ Synopsis

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 fi tted 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.