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Original Articles

Development and evaluation of the Cantonese matrix sentence test

ORCID Icon, , , , & ORCID Icon
Pages 8-20 | Received 03 May 2022, Accepted 21 Oct 2022, Published online: 28 Nov 2022
 

Abstract

Objective

To develop the Cantonese matrix (YUEmatrix) test according to the international standard procedure and examine possible different outcomes in another tonal language.

Design

A 50-word Cantonese base-matrix was established. Word-specific speech recognition functions, speech recognition thresholds (SRT), and slopes were obtained. The speech material was homogenised in intelligibility by applying level corrections up to ± 3 dB. Subsequently, the YUEmatrix test was evaluated in five aspects: training effect, test-list equivalence, test-retest reliability, establishment of reference data for normal-hearing Cantonese-speakers, and comparison with the Cantonese-Hearing-In-Noise-Test.

Study sample

Overall, 64 normal-hearing native Cantonese-speaking listeners.

Results

SRT measurements with adaptive procedures resulted in a reference SRT of −9.7 ± 0.7 dB SNR for open-set and −11.1 ± 1.2 dB SNR for the closed-set response format. Fixed SNR measurements suggested a test-specific speech intelligibility function slope of 15.5 ± 0.7%/dB. Seventeen 10-sentences base test lists were confirmed to be equivalent with respect to speech intelligibility. Training effect was not observed after two measurements of 20-sentences lists.

Conclusions

The YUEmatrix yields comparable results to matrix tests in other languages including Mandarin. Level adjustments to homogenise sentences appear to be less effective for tonal languages than for most other languages developed so far.

Acknowledgements

Partial results of the current manuscript have been reported by the third author within the framework of MSc thesis for the degree of Master of Science in Audiology at the University of Hong Kong.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Deutsche Forschungsgemeinschaft (EMSATON, Projektnummer 415895050) and Sivantos Pte. Ltd., Singapore.

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