Identifications of speaker-ethnicity: attribution accuracy in changeable settings

R. Todd
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引用次数: 1

Abstract

Several studies have considered the auditory identification of foreign-accented/nonnative speech. Here, a finer-grained alternative to the traditional definition of speech based on the usual criterion of birthplace alone, yet accommodates complexities which arise when dealing with speakers from countries which are historically diverse, ethnically. Using the foregoing construct, this study examines the potential for listeners to accurately group different speaker-types, with respect their ethnicity, in low/high quality transmission conditions. The findings of the Ethnic Group Attribution (EGA) task confirms overall human competence. The n = 120) brings added generalisability to smaller-scale studies. It furthermore, allows a better understanding of contextualised performance, gender-wise.
说话人种族的识别:在可变环境下归因的准确性
一些研究考虑了外国口音/非母语语音的听觉识别。在这里,一个更细粒度的替代语言的传统定义,仅基于出生地的通常标准,但适应复杂性,当处理来自历史上不同国家的说话者,种族。使用上述结构,本研究考察了听众在低/高质量传输条件下根据种族准确划分不同说话者类型的潜力。族群归因(EGA)任务的发现证实了人类的整体能力。n = 120)为小规模研究增加了普遍性。此外,它可以更好地理解性别方面的情境化表现。
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