Boundary-conditioned anticipatory tonal coarticulation in Standard Mandarin

Boundary-conditioned anticipatory tonal coarticulation in Standard Mandarin
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标准普通话的边界条件预期声调协同发音

DOI:
10.1016/j.wocn.2020.101018
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发表时间:
2021
影响因子:
1.9
通讯作者:
Shih, Chilin
Shih, Chilin
中科院分区:
人文科学1区
文献类型:
--
作者:
Sun, Yan;Shih, Chilin

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本研究的目的是检验(1)普通话中一个轻声序列的F0曲线是否以及如何受到由预期声调协同发音引起的随后的全音的影响,(2)预期声调协同发音的程度是否以及如何作为干预边界强度的函数而变化,(3)边界条件下的预期声调协同发音变化是否可以用边界引起的持续时间变化来解释。通过使用广义加性混合模型分析时变F0轮廓的中性音序列,我们能够正式检测预期的音调协同发音的影响,同时考虑到20个扬声器的个体差异,在不同的边界条件。结果表明:(a)中性调序列的F0曲线受同化和异化预期效应的共同影响,预期效应可以向非相邻的中性调扩散;(B)预期声调协同发音在跨越强边界时比跨越弱边界时弱;(c)边界诱导的预期声调协同发音减少不能简单地用边界诱导的延长效应来解释。基于这些结果,我们认为,本研究中所报道的预期声调协同构音模式更符合软模板标记语言(Stem-ML)模型,而不是平行编码和目标近似(PENTA)模型,并且边界诱导的预期声调协同构音减少主要是主动言语规划的结果。
The goal of this study is to examine (1) whether and how the F0 contour of a sequence of neutral tones in Standard Mandarin is affected by the following full tone due to anticipatory tonal coarticulation, (2) whether and how the degree of anticipatory tonal coarticulation varies as a function of the strength of an intervening boundary, and (3) whether boundary-conditioned anticipatory tonal coarticulatory variations can be accounted for by boundary-induced durational changes. By using generalized additive mixed models to analyze time-varying F0 contours of neutral-tone sequence, we are able to formally detect anticipatory tonal coarticulation effects across different boundary conditions while simultaneously taking into account individual variations of 20 speakers. Results show that (a) F0 contours of neutral-tone sequence can be affected by both assimilatory and dissimilatory anticipatory effects and anticipation could spread to non-adjacent neutral tones, that (b) anticipatory tonal coarticulation becomes weaker when crossing a strong boundary than when crossing a weak boundary, and that (c) boundary-induced anticipatory tonal coarticulation reductioncannotbe simply accounted for by boundary-induced lengthening effect. Based on the results, we argue that the anticipatory tonal coarticulation patterns reported in this study are more consistent with thesoft template mark-up language(Stem-ML) model than with theparallel encoding and target approximation(PENTA) model, and that boundary-induced anticipatory tonal coarticulation reduction is primarily the result of active speech planning.
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