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噪音和语言熟练程度如何影响个体非母语听众的语音识别。

How noise and language proficiency influence speech recognition by individual non-native listeners.

作者信息

Zhang Jin, Xie Lingli, Li Yongjun, Chatterjee Monita, Ding Nai

机构信息

College of Mathematics and Computer Science, Hunan Normal University, Hunan, China.

School of Software, Hunan University, Hunan, China.

出版信息

PLoS One. 2014 Nov 19;9(11):e113386. doi: 10.1371/journal.pone.0113386. eCollection 2014.

Abstract

This study investigated how speech recognition in noise is affected by language proficiency for individual non-native speakers. The recognition of English and Chinese sentences was measured as a function of the signal-to-noise ratio (SNR) in sixty native Chinese speakers who never lived in an English-speaking environment. The recognition score for speech in quiet (which varied from 15%-92%) was found to be uncorrelated with speech recognition threshold (SRTQ/2), i.e. the SNR at which the recognition score drops to 50% of the recognition score in quiet. This result demonstrates separable contributions of language proficiency and auditory processing to speech recognition in noise.

摘要

本研究调查了对于个体非母语者而言,噪声中的语音识别如何受到语言熟练度的影响。在60名从未生活在英语环境中的以中文为母语的人中,测量了对英语和中文句子的识别,并将其作为信噪比(SNR)的函数。结果发现,安静环境下的语音识别分数(从15%到92%不等)与语音识别阈值(SRTQ/2)不相关,即识别分数降至安静环境下识别分数50%时的信噪比。这一结果表明,语言熟练度和听觉处理对噪声中的语音识别有不同的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/4237440/ce1d8bbf4720/pone.0113386.g001.jpg

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