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发音距离如何影响儿童和成人的单词识别。

How pronunciation distance impacts word recognition in children and adults.

机构信息

Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, Indiana 47408, USA.

Department of Speech and Hearing Science, The Ohio State University, Columbus, Ohio 43210, USA.

出版信息

J Acoust Soc Am. 2021 Dec;150(6):4103. doi: 10.1121/10.0008930.

Abstract

Although unfamiliar accents can pose word identification challenges for children and adults, few studies have directly compared perception of multiple nonnative and regional accents or quantified how the extent of deviation from the ambient accent impacts word identification accuracy across development. To address these gaps, 5- to 7-year-old children's and adults' word identification accuracy with native (Midland American, British, Scottish), nonnative (German-, Mandarin-, Japanese-accented English) and bilingual (Hindi-English) varieties (one talker per accent) was tested in quiet and noise. Talkers' pronunciation distance from the ambient dialect was quantified at the phoneme level using a Levenshtein algorithm adaptation. Whereas performance was worse on all non-ambient dialects than the ambient one, there were only interactions between talker and age (child vs adult or across age for the children) for a subset of talkers, which did not fall along the native/nonnative divide. Levenshtein distances significantly predicted word recognition accuracy for adults and children in both listening environments with similar impacts in quiet. In noise, children had more difficulty overcoming pronunciations that substantially deviated from ambient dialect norms than adults. Future work should continue investigating how pronunciation distance impacts word recognition accuracy by incorporating distance metrics at other levels of analysis (e.g., phonetic, suprasegmental).

摘要

虽然不熟悉的口音会给儿童和成人的单词识别带来挑战,但很少有研究直接比较对多种非母语和地区口音的感知,也没有量化与环境口音的偏差程度如何影响整个发展过程中的单词识别准确性。为了解决这些差距,我们测试了 5 至 7 岁儿童和成人对母语(米德兰美国口音、英国口音、苏格兰口音)、非母语(德语口音、汉语口音、日语口音英语)和双语(印地语-英语)变体(每种口音一个说话者)的单词识别准确性,分别在安静和噪声环境下进行。使用 Levenshtein 算法的改编版来量化说话者发音与环境方言的音素级别的距离。虽然在所有非环境方言上的表现都比环境方言差,但只有在说话者和年龄之间存在交互作用(儿童与成人或儿童在不同年龄之间),这在一些说话者中没有沿着母语/非母语的分界线出现。Levenshtein 距离在两种听力环境下均显著预测了成人和儿童的单词识别准确性,在安静环境下的影响相似。在噪声环境下,儿童比成人更难以克服发音与环境方言规范的显著偏差。未来的工作应继续研究发音距离如何通过在其他分析水平(例如,语音、超音段)上纳入距离度量来影响单词识别准确性。

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