Data, R code, and sample recordings for: The relevance of auditory feedback for consonant production: the case of fricatives

Published: 17 October 2019| Version 1 | DOI: 10.17632/js86f4nzyn.1
Eugen Klein, Philip Hoole, Jana Brunner


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).



Auditory Feedback, Speech Analysis, Motor Learning, Human Speech Production