Contour clustering: A field-data-driven approach for documenting and analysing prototypical f0 contours

IF 0.8 3区 文学 0 LANGUAGE & LINGUISTICS Journal of the International Phonetic Association Pub Date : 2021-04-12 DOI:10.1017/S0025100321000049
Constantijn Kaland
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引用次数: 7

Abstract

ABSTRACT This paper reports an automatic data-driven analysis for describing prototypical intonation patterns, particularly suitable for initial stages of prosodic research and language description. The approach has several advantages over traditional ways to investigate intonation, such as the applicability to spontaneous speech, language- and domain-independency, and the potential of revealing meaningful functions of intonation. These features make the approach particularly useful for language documentation, where the description of prosody is often lacking. The core of this approach is a cluster analysis on a time-series of f0 measurements and consists of two scripts (Praat and R, available from https://constantijnkaland.github.io/contourclustering/). Graphical user interfaces can be used to perform the analyses on collected data ranging from spontaneous to highly controlled speech. There is limited need for manual annotation prior to analysis and speaker variability can be accounted for. After cluster analysis, Praat textgrids can be generated with the cluster number annotated for each individual contour. Although further confirmatory analysis is still required, the outcomes provide useful and unbiased directions for any investigation of prototypical f0 contours based on their acoustic form.
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轮廓聚类:用于记录和分析原型轮廓的现场数据驱动方法
本文报道了一种用于描述原型语调模式的自动数据驱动分析方法,特别适用于韵律研究和语言描述的初始阶段。与传统的语调研究方法相比,该方法具有许多优点,如对自发语音的适用性,语言和领域的独立性,以及揭示语调的有意义功能的潜力。这些特性使得这种方法对语言文档特别有用,因为语言文档通常缺乏韵律的描述。该方法的核心是对f0个度量的时间序列进行聚类分析,由两个脚本(Praat和R,可从https://constantijnkaland.github.io/contourclustering/获得)组成。图形用户界面可用于对收集的数据进行分析,范围从自发到高度控制的语音。在分析之前,人工注释的需求是有限的,说话人的变化可以考虑在内。聚类分析后,生成Praat文本网格,并为每个单独的轮廓标注聚类号。虽然还需要进一步的验证性分析,但结果为基于声学形式的原型轮廓的任何研究提供了有用和公正的方向。
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来源期刊
CiteScore
2.10
自引率
12.50%
发文量
20
期刊介绍: The Journal of the International Phonetic Association (JIPA) is a forum for work in the fields of phonetic theory and description. As well as including papers on laboratory phonetics/phonology and related topics, the journal encourages submissions on practical applications of phonetics to areas such as phonetics teaching and speech therapy, as well as the analysis of speech phenomena in relation to computer speech processing. It is especially concerned with the theory behind the International Phonetic Alphabet and discussions of the use of symbols for illustrating the phonetic structures of a wide variety of languages. JIPA now publishes online audio files to supplement written articles Published for the International Phonetic Association
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