Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese.
Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese.
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DOI：
10.1080/01621459.2015.1006729
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发表时间：
2015-04-03
影响因子：
3.7
通讯作者：
Evans JP
中科院分区：
文献类型：
--
作者：
Hadjipantelis PZ;Aston JA;Müller HG;Evans JP
普通话是一种声调语言，它的音高（或F0）承载着大量的语言信息。然而，来自不同个体的语音样本会受到幅度和相位的变化的影响，这在任何试图提供语言学上有意义的语言描述的分析中都必须考虑。振幅，相位和持续时间的联合模型，它结合了功能数据分析，成分数据分析和线性混合效应模型的元素。通过函数主成分分析分解函数，并将配准函数连接到成分数据分析，可以建立联合多元混合效应模型，该模型可以深入了解不同变异模式之间的关系及其对语言和非语言协变量的依赖性。该模型被应用到COSPRO-1数据集，一个全面的数据库，台湾普通话口语，包含约50,000语音不同的样本F 0轮廓（音节），并揭示了语音信息共同进行幅度和相位变化。本文的补充材料可在网上查阅。
Mandarin Chinese is characterized by being a tonal language; the pitch (or F 0) of its utterances carries considerable linguistic information. However, speech samples from different individuals are subject to changes in amplitude and phase, which must be accounted for in any analysis that attempts to provide a linguistically meaningful description of the language. A joint model for amplitude, phase, and duration is presented, which combines elements from functional data analysis, compositional data analysis, and linear mixed effects models. By decomposing functions via a functional principal component analysis, and connecting registration functions to compositional data analysis, a joint multivariate mixed effect model can be formulated, which gives insights into the relationship between the different modes of variation as well as their dependence on linguistic and nonlinguistic covariates. The model is applied to the COSPRO-1 dataset, a comprehensive database of spoken Taiwanese Mandarin, containing approximately 50,000 phonetically diverse sample F 0 contours (syllables), and reveals that phonetic information is jointly carried by both amplitude and phase variation. Supplementary materials for this article are available online.