普通话
心理学
听力学
同质性(统计学)
语音识别
语言学
计算机科学
自然语言处理
医学
哲学
机器学习
作者
Xin Xi,Teresa Y. C. Ching,Fei Ji,Zhao Yang,Jia-Nan Li,John P. Seymour,Meng-Di Hong,Ai-Ting Chen,Harvey Dillon
标识
DOI:10.3109/14992027.2011.642011
摘要
OBJECTIVE: To develop a corpus of sentences in babble noise that is suitable for Mandarin-speaking children. Two experiments were conducted with specific aims of (1) developing sentence material that is grammatically and semantically within the linguistic abilities of children; and (2) improving the efficiency of the test by equalizing the relative intelligibility of individual items in sentences. DESIGN AND STUDY SAMPLE: Sentences were extracted from spoken material of Chinese children aged between 4 and 5 years of age. The sentences were tested for intelligibility in a four-talker babble by 96 adult native speakers of Mandarin. Psychometric functions were generated, and used for adjusting signal-to-noise ratios of individual items by varying the level of the time-locked babble to equate intelligibility of the target speech. These adjusted stimuli were tested for intelligibility using a different group of 64 adult listeners. RESULTS: The signal-to-noise ratio for 50% correct was not different before and after adjustments (- 6.1 dB and - 6.0 dB, respectively). However, there was a significant reduction in standard deviation from 2.3 dB before adjustment to 1.1 dB after adjustment (p < 0.05). CONCLUSIONS: The experiments established a corpus of Mandarin BKB-like sentences with four-talker babble as competing noise, in which the test items' homogeneity was optimized via psychometric evaluation (HOPE).
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