The role of segments and prosody in the identification of a speaker's dialect

被引:15
作者
Leemann, Adrian [1 ]
Kolly, Marie-Jose [2 ]
Nolan, Francis [3 ]
Li, Yang [3 ]
机构
[1] Univ Lancaster, Dept Linguist & English Language, Lancaster LA1 4YL, England
[2] Neue Zurcher Zeitung, Falkenstr 11, CH-8021 Zurich, Switzerland
[3] Univ Cambridge, Dept Theoret & Appl Linguist, Phonet Lab, Sidgwick Ave, Cambridge CB3 9DA, England
基金
瑞士国家科学基金会;
关键词
Dialect identification; Segments; Rhythm; Intonation; Prosody morphing; Swiss German; CUES; LANGUAGE; SPEECH; INTELLIGIBILITY; CLASSIFICATION; PERCEPTION; VARIETIES; RHYTHM;
D O I
10.1016/j.wocn.2018.02.001
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
The objective of this study is to investigate the role of segments, rhythm, and rhythm combined with intonation in the identification of a speaker's dialect. In a between-subjects design using three conditions, we tested 62 listeners (Zurich Swiss German) in a two-alternative-forced choice dialect identification experiment: in condition one, 21 listeners were asked to identify two dialects (Valais and Bern Swiss German) in unmorphed form. In condition two, 20 different listeners had to identify the same two dialects but with swapped speech rhythm, and in condition three, 21 different listeners had to identify the same dialects with swapped speech rhythm and intonation. The experiment showed that exchanging speech rhythm alone or speech rhythm combined with intonation had very little effect on the listeners' dialect identification performance: listeners appear to use primarily segmental information in the identification process. Further results revealed that (a) superimposing the prosodic structure of one dialect (Bern Swiss German) onto another (Valais Swiss German) caused greater variability across some listeners than the other way around and that (b) identification performance varies as a function of sentence material used, i.e. how the sentences differ in segmental and prosodic make-up. We discuss implications for forensic phonetics, language and cognition, and automatic speech recognition. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:69 / 84
页数:16
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