听众的非母语语音识别与分类能力之间的关系。
Relationship between listeners' nonnative speech recognition and categorization abilities.
作者信息
Atagi Eriko, Bent Tessa
机构信息
Department of Speech and Hearing Sciences, Indiana University, 200 South Jordan Avenue, Bloomington, Indiana 47405
出版信息
J Acoust Soc Am. 2015 Jan;137(1):EL44-50. doi: 10.1121/1.4903916.
Enhancement of the perceptual encoding of talker characteristics (indexical information) in speech can facilitate listeners' recognition of linguistic content. The present study explored this indexical-linguistic relationship in nonnative speech processing by examining listeners' performance on two tasks: nonnative accent categorization and nonnative speech-in-noise recognition. Results indicated substantial variability across listeners in their performance on both the accent categorization and nonnative speech recognition tasks. Moreover, listeners' accent categorization performance correlated with their nonnative speech-in-noise recognition performance. These results suggest that having more robust indexical representations for nonnative accents may allow listeners to more accurately recognize the linguistic content of nonnative speech.
增强语音中说话者特征（索引信息）的感知编码可以促进听众对语言内容的识别。本研究通过考察听众在两项任务上的表现，探讨了非母语语音处理中这种索引-语言关系：非母语口音分类和非母语噪声环境下的语音识别。结果表明，听众在口音分类和非母语语音识别任务上的表现存在很大差异。此外，听众的口音分类表现与他们在非母语噪声环境下的语音识别表现相关。这些结果表明，拥有更稳健的非母语口音索引表征可能使听众能够更准确地识别非母语语音的语言内容。
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