Data, R code, and sample recordings for: The relevance of auditory feedback for consonant production: the case of fricatives
收藏doi.org2025-01-15 收录
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http://doi.org/10.17632/js86f4nzyn.1
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This data set contains the data of 19 native Russian speakers for whom the spectrum of the target fricative [sj] was auditorily perturbed in two opposite directions. The main goal of the study was to investigate whether speakers were able to develop two different compensatory strategies to successfully produce the target sound. In the accompanying R code, we present a multi-parameter analysis where we examine the relevance of a series of acoustic measures for describing the adaptation process. By applying a supervised classification algorithm (Random Forest; RF), we aimed to identify those acoustic parameters which were systematically affected during the adaptation process. Consequently, to break down the adaptation process into individual compensatory strategies, we traced specific acoustic changes that occurred over the course of the experiment by means of generalized additive mixed models (GAMM).
本数据集收录了19位母语为俄语的发音者的数据,其中目标摩擦音[sj]的频谱在两个相反的方向上进行了听觉扰动。研究的主要目的是探究发言者是否能够发展出两种不同的补偿策略以成功发出目标音。在随附的R代码中,我们呈现了一种多参数分析,用以考察一系列声学指标在描述适应过程方面的相关性。通过应用监督分类算法(随机森林;RF),我们旨在识别那些在适应过程中系统受到影响的声学参数。因此,为了将适应过程分解为个别补偿策略,我们通过广义加性混合模型(GAMM)追踪了实验过程中发生的特定声学变化。
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Mendeley Data



