The development and validation of the Closed-set Mandarin Sentence (CMS) test.
The development and validation of the Closed-set Mandarin Sentence (CMS) test.
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闭集普通话句子（CMS）测试的开发和验证
DOI：
10.1016/j.specom.2017.06.008
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发表时间：
2017-09
影响因子：
3.2
通讯作者：
Yu YF
中科院分区：
文献类型：
--
作者：
Tao DD;Fu QJ;Galvin JJ 3rd;Yu YF
矩阵式句子测试提供了一个封闭的范例，可能是有用的，当评估语音清晰度。理想情况下，句子测试材料应该反映目标语言中音素的分布。我们开发并验证了闭集普通话句子（CMS）测试，以评估在噪声中的普通话语音清晰度。CMS测试材料被选为熟悉的话，并代表自然分布的元音，辅音，和词汇声调在普通话中发现。五个类别（名称、动词、数字、颜色和水果）中的每一个都有十个关键词，由一名母语为普通话的人产生，总共有50个词可以组合成100，000个独特的句子。本研究采用封闭式测试范式，对10名听力正常的成年汉语普通话听力受试者进行了测试。对每个受试者进行两次测试，每次随机生成20个句子，同时确保每个单词在每次运行中只出现两次。首先，调整每个类别中的单词的水平，以在噪音中产生相同的可懂度。根据Cronbach’s alpha（0.952），句中词识别的重测信度非常好。类别水平调整后，语音接收阈值（SRT）的噪音中的句子，定义为产生50%正确的整句识别的信噪比（SNR），自适应测量调整的SNR根据响应的正确性。运行1和运行2的平均SRT分别为−7.9（SE=0.41）和−8.1（SE=0.34）dB。运行之间的平均标准差为0.93 dB，配对t检验显示运行1和运行2之间没有显著差异（p=0.74），尽管为每次运行和每个受试者生成随机句子。结果表明，CMS提供了大的刺激集，重复和可靠的测量，使用封闭集范式在噪声中的普通话听者的言语理解。
Matrix-styled sentence tests offer a closed-set paradigm that may be useful when evaluating speech intelligibility. Ideally, sentence test materials should reflect the distribution of phonemes within the target language. We developed and validated the Closed-set Mandarin Sentence (CMS) test to assess Mandarin speech intelligibility in noise. CMS test materials were selected to be familiar words and to represent the natural distribution of vowels, consonants, and lexical tones found in Mandarin Chinese. Ten key words in each of five categories (Name, Verb, Number, Color, and Fruit) were produced by a native Mandarin talker, resulting in a total of 50 words that could be combined to produce 100,000 unique sentences. Normative data were collected in 10 normal-hearing, adult Mandarin-speaking Chinese listeners using a closed-set test paradigm. Two test runs were conducted for each subject, and 20 sentences per run were randomly generated while ensuring that each word was presented only twice in each run. First, the level of the words in each category were adjusted to produce equal intelligibility in noise. Test-retest reliability for word-in-sentence recognition was excellent according to Cronbach’s alpha (0.952). After the category level adjustments, speech reception thresholds (SRTs) for sentences in noise, defined as the signal-to-noise ratio (SNR) that produced 50% correct whole sentence recognition, were adaptively measured by adjusting the SNR according to the correctness of response. The mean SRT was −7.9 (SE=0.41) and −8.1 (SE=0.34) dB for runs 1 and 2, respectively. The mean standard deviation across runs was 0.93 dB, and paired t-tests showed no significant difference between runs 1 and 2 (p=0.74) despite random sentences being generated for each run and each subject. The results suggest that the CMS provides large stimulus set with which to repeatedly and reliably measure Mandarin-speaking listeners’ speech understanding in noise using a closed-set paradigm.
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影响因子：
2.7
作者：
Chan, Jenny C. Y.;Freed, Daniel J.;Soli, Sigfrid D.
通讯作者：
Soli, Sigfrid D.
DOI：
10.3109/01050398209076203
发表时间：
1982-01-01
期刊：
SCANDINAVIAN AUDIOLOGY
影响因子：
--
作者：
HAGERMAN, B
通讯作者：
HAGERMAN, B
影响因子：
3.7
作者：
Wong, Lena L. N.;Soli, Sigfrid D.;Huang, Ming-Wei
通讯作者：
Huang, Ming-Wei
影响因子：
2.4
作者：
Fu, Qian-Jie;Zhu, Meimei;Wang, Xiaosong
通讯作者：
Wang, Xiaosong
影响因子：
2.7
作者：
Akeroyd, Michael A.;Arlinger, Stig;Kollmeier, Birger
通讯作者：
Kollmeier, Birger