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

Chi Pun YUEN, Ka Wai PANG, Michael CF TONG, Charles A VAN HASSELT, Meng YUAN, Tan LEE, Sigfrid D. SOLI

Research output: Contribution to journalArticles

1 Citation (Scopus)

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. Copyright © 2009 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)130-137
JournalCochlear Implants International
Volume10
Issue numberS1
DOIs
Publication statusPublished - 2009

Citation

Yuen, K. C. P., Pang, K. W., Tong, M. C. F., van Hasselt, C. A., Yuan, M., Lee, T., & Soli, S. (2009). Development of the computerized Cantonese Disyllabic Lexical Tone Identification Test in Noise (CANDILET-N). Cochlear Implants International, 10(Suppl. 1), 130-137. doi: 10.1179/cim.2009.10.Supplement-1.130

Keywords

  • Cantonese
  • Lexical tone
  • Speech recognition
  • Signal-to-noise ratio for 50% correct score (SNR-50%)
  • Test development

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