Analysis and computational modelling of Emirati Arabic intonation – A preliminary study

IF 1.9 1区 文学 0 LANGUAGE & LINGUISTICS
Muhammad Swaileh A. Alzaidi , Yi Xu , Anqi Xu , Marta Szreder
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引用次数: 0

Abstract

This study is a preliminary investigation of intonation in Emirati Arabic (EA) (an under-researched Arabic dialect), using systematic acoustic analysis and computational modelling. First, we investigated the prosodic realisation of information focus and contrastive focus at sentence-initial, -penultimate and -final positions. The analysis of 1980 EA utterances produced by eleven EA native speakers revealed that (1) in focused words, only contrastive focus is realised with expanded excursion size, longer duration, and stronger intensity relative to their neutral focus counterparts, (2) post-focus words have a lower f0 and weaker intensity in both contrastive focus and information focus, and (3) pre-focus words have compressed excursion size and relatively short duration. We then used computational modelling to test how much of the EA intonation could be captured by the PENTA model, with focus-defined functional categories and a number of other, putative categories. PENTAtrainer was trained on syllable-sized multi-functional targets from a subset of the production data. The model then generated f0 contours with the learned targets and imposed them on resynthesised speech for perceptual evaluation. A comparison of the model-generated f0 contours with the natural f0 contours showed that not only focus but also weight, stress, position of word-level stressed syllable and prosodic word are important factors determining the fine details of EA intonation. A perceptual test with native EA listeners showed that the synthetic EA f0 contours sounded nearly as natural as the original intonation, and could convey focus nearly as accurately as natural intonation.

阿联酋阿拉伯语语调的分析与计算模型初步研究
本研究采用系统声学分析和计算模型,对阿联酋阿拉伯语(一种研究不足的阿拉伯语方言)的语调进行了初步调查。首先,我们研究了信息焦点和对比焦点在句首、倒数第二和词尾位置的韵律实现。对11位母语为英语学习者的1980个英语学习话语的分析表明:(1)在聚焦词中,只有对比聚焦相对于中性聚焦词具有更大的偏移量、更长的持续时间和更强的强度;(2)后聚焦词在对比聚焦和信息聚焦中都具有更低的f0和较弱的强度,以及(3)预聚焦字具有压缩的偏移大小和相对短的持续时间。然后,我们使用计算建模来测试PENTA模型可以捕捉到多少EA语调,其中包括焦点定义的功能类别和一些其他假定类别。PENTAtrainer是根据生产数据的子集对音节大小的多功能目标进行训练的。然后,该模型生成了具有学习目标的f0轮廓,并将其应用于重新合成的语音以进行感知评估。将模型生成的f0等值线与自然的f0轮廓线进行比较表明,决定EA语调细节的重要因素不仅是焦点,而且还有重音、词级重音音节和韵律词的权重、重音、位置。对本地EA听众的感知测试表明,合成的EA f0轮廓听起来几乎和原始语调一样自然,并且可以像自然语调一样准确地传达焦点。
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来源期刊
CiteScore
3.50
自引率
26.30%
发文量
49
期刊介绍: The Journal of Phonetics publishes papers of an experimental or theoretical nature that deal with phonetic aspects of language and linguistic communication processes. Papers dealing with technological and/or pathological topics, or papers of an interdisciplinary nature are also suitable, provided that linguistic-phonetic principles underlie the work reported. Regular articles, review articles, and letters to the editor are published. Themed issues are also published, devoted entirely to a specific subject of interest within the field of phonetics.
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