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粤语声调信息在安静环境和噪声环境下对句子识别准确率重要吗?

Is Cantonese lexical tone information important for sentence recognition accuracy in quiet and in noise?

机构信息

Department of Special Education and Counselling, Integrated Center for Wellbeing (I-WELL), The Education University of Hong Kong, Taipo, New Territories, Hong Kong SAR, China.

出版信息

PLoS One. 2022 Oct 25;17(10):e0276254. doi: 10.1371/journal.pone.0276254. eCollection 2022.

Abstract

In Chinese languages, tones are used to express the lexical meaning of words. It is therefore important to analyze the role of lexical tone in Chinese sentence recognition accuracy. There is a lack of research on the role of Cantonese lexical tones in sentence recognition accuracy. Therefore, this study examined the contribution of lexical tone information to Cantonese sentence recognition accuracy and its cognitive correlates in adults with normal hearing (NH). A text-to-speech synthesis engine was used to synthesize Cantonese daily-use sentences with each word carrying an original or a flat lexical tone, which were then presented to 97 participants in quiet, in speech-shaped noise (SSN), and in two-talker babble (TTB) noise conditions. Both target sentences and noises were presented at 65 dB binaurally via insert headphones. It was found that listeners with NH can almost perfectly recognize a daily-use Cantonese sentence with mismatched lexical tone information in quiet, while their sentence recognition decreases substantially in noise. The same finding was reported for Mandarin, which has a relatively simple tonal system, suggesting that the current results may be applicable to other tonal languages. In addition, working memory (WM) was significantly related to decline in sentence recognition score in the TTB but not in the SSN, when the lexical tones were mismatched. This finding can be explained using the Ease of Language Understanding model and suggests that those with higher WM are less likely to be affected by the degraded lexical information for perceiving daily-use sentences in the TTB.

摘要

在中文中,声调用于表达词汇的意思。因此,分析声调在汉语句子识别准确性中的作用非常重要。在粤语句子识别准确性中,声调的作用还缺乏相关研究。因此,本研究考察了声调信息对正常听力(NH)成人粤语句子识别准确性的贡献及其认知相关性。利用语音合成引擎将每个字的原始或平板声调的粤语日常用语句子进行合成,然后在安静、语音噪声(SSN)和双说话人噪音(TTB)条件下呈现给 97 名参与者。目标句子和噪声都通过插入耳机在双耳 65dB 下呈现。研究发现,NH 患者在安静时几乎可以完美识别声调不匹配的粤语日常用语句子,而在噪声中,他们的句子识别能力会大幅下降。对于声调系统相对简单的普通话,也有同样的发现,这表明当前的结果可能适用于其他声调语言。此外,在声调不匹配时,工作记忆(WM)与 TTB 中句子识别得分的下降显著相关,但在 SSN 中则没有。这一发现可以用语言理解的简易模型来解释,这表明,WM 较高的人不太可能受到 TTB 中日常用语句子感知时退化的声调信息的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94a5/9595525/944d30a0d9bf/pone.0276254.g001.jpg

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