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...

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Bibliographic Details
Published in:Cochlear implants international 2009, Vol.10 (S1), p.130-137
Main Authors: Yuen, Kevin C P, Pang, Ka Wai, Tong, Michael C F, Van Hasselt, Charles A, Yuan, Meng, Lee, Tan, Soli, Sigfrid D
Format: Article
Language:English
Subjects:
Cantonese
lexical tone
signal‐to‐noise ratio for 50% correct score (SNR‐50%)
speech recognition
test development
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Summary: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. Copyright © 2009 John Wiley & Sons, Ltd.
ISSN:1467-0100
1556-9152
DOI:10.1002/cii.406