Development of the computerized Cantonese Disyllabic lexical tone identification test in noise (CANDILET-N)
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AbstractCANDILET-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. © 2009 John Wiley & Sons, Ltd.
All Author(s) ListYuen K.C.P., Pang K.A.W., Tong M.C.F., van Hasselt C.A., Yuan M., Lee T., Soli S.D.
Journal nameCochlear Implants International
Year2009
Month9
Day8
Volume Number10
Issue NumberSUPPL. 1
PublisherManey Publishing
Place of PublicationUnited Kingdom
Pages130 - 137
ISSN1467-0100
LanguagesEnglish-United Kingdom
KeywordsCantonese, Lexical tone, Signal-to-noise ratio for 50% correct score (SNR-50%), Speech recognition, Test development

Last updated on 2020-20-10 at 00:56