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

机译:粤语重音双音词汇识别测试计算机的研制(CANDILET-N)

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摘要

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 recession 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.
机译:CANDILET-N是一种封闭式语音识别测试,旨在评估粤语说话者在噪声中的词汇音调识别能力。该测试由四项强制选择测试范式中的60个测试项目组成,其中包括男性和女性演讲者版本。每个测试板由两个复音词词汇语气最小对测试项目以及它们各自的语音干扰器组成。将来自26位正常听力成年人的心理测量性能SNR(信噪比)功能拟合到逻辑后退模型,以获取单个测试项目的50%正确分数(SNR-50%)的SNR。在女性和男性测试集中的60个测试项目中,平均SNR-50%分别为-10.3 dB和-11.1 dB。 SNR-50%随测试项目的不同而变化,需要调整其SNR以提高它们之间的均匀性。

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