Abstract
Despite ample evidence that speech production is associated with extensive trial-to-trial variability, it remains unclear whether this variability represents merely unwanted system noise or an actively regulated mechanism that is fundamental for maintaining and adapting accurate speech movements. Recent work on upper limb movements suggest that inter-trial variability may be not only actively regulated based on sensory feedback, but also provide a type of workspace exploration that facilitates sensorimotor learning. We therefore investigated whether experimentally reducing or magnifying inter-trial formant variability in the real-time auditory feedback during speech production (a) leads to adjustments in formant production variability that compensate for the manipulation, (b) changes the temporal structure of formant adjustments across productions, and (c) enhances learning in a subsequent adaptation task in which a predictable formant-shift perturbation is applied to the feedback signal. Results show that subjects gradually increased formant variability in their productions when hearing auditory feedback with reduced variability, but subsequent formant-shift adaptation was not affected by either reducing or magnifying the perceived variability. Thus, findings provide evidence for speakers’ active control of inter-trial formant variability based on auditory feedback from previous trials, but–at least for the current short-term experimental manipulation of feedback variability–not for a role of this variability regulation mechanism in subsequent auditory-motor learning.
Funder
National Institutes of Health
Subject
Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology
Reference56 articles.
1. System identification applied to a visuomotor task: near-optimal human performance in a noisy changing task.;Baddeley;J. Neurosci.,2003
2. A robust and representative lower bound on object processing speed in humans.;Bieniek;Eur. J. Neurosci.,2016
3. Praat, a system for doing phonetics by computer.;Boersma;Glot Int.,2001
4. Introduction to Time Series and Forecasting
5. A system for online dynamic perturbation of formant trajectories and results from perturbations of the mandarin triphthong /iau/;Cai;Proceedings of the 8th ISSP,2008
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