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连续语音中汉语词汇的语音识别

Spoken Word Recognition of Chinese Words in Continuous Speech.

作者信息

Yip Michael C W

机构信息

Department of Psychological Studies, The Hong Kong Institute of Education, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong SAR.

出版信息

J Psycholinguist Res. 2015 Dec;44(6):775-87. doi: 10.1007/s10936-014-9318-2.

Abstract

The present study examined the role of positional probability of syllables played in recognition of spoken word in continuous Cantonese speech. Because some sounds occur more frequently at the beginning position or ending position of Cantonese syllables than the others, so these kinds of probabilistic information of syllables may cue the locations of syllable boundaries in speech. Two word-spotting experiments were conducted to investigate the role of positional probability in the spoken word recognition process of Cantonese speech. It was found that listeners indeed made use of the positional probability of a syllable's onset but not of a syllable's ending sound in the spoken word recognition process. Together with other relevant studies in different languages, we propose that probabilistic phonotactics are one useful source of information in the spoken word recognition and speech segmentation process.

摘要

本研究考察了音节位置概率在连续粤语语音中识别口语单词时所起的作用。由于某些音在粤语音节的开头位置或结尾位置出现的频率比其他音更高,所以这些音节的概率信息可能会提示语音中音节边界的位置。进行了两项单词识别实验,以研究位置概率在粤语语音单词识别过程中的作用。研究发现,在单词识别过程中,听者确实利用了音节开头的位置概率,而不是音节结尾的音。结合其他不同语言的相关研究,我们提出概率音位规则是口语单词识别和语音分割过程中一个有用的信息来源。

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