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Related Concept Videos

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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Related Experiment Video

Updated: Aug 22, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

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Movement variability can be modulated in speech production.

Ding-Lan Tang1,2, Benjamin Parrell1,2, Caroline A Niziolek1,2

  • 1Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, Wisconsin.

Journal of Neurophysiology
|November 9, 2022
PubMed
Summary
This summary is machine-generated.

Motor variability in speech production can be actively controlled. This study shows that auditory feedback can modulate speech variability, even in complex, practiced tasks, suggesting active monitoring of motor output.

Keywords:
auditory perturbationerror sensitivitymotor variabilitysensorimotor adaptationspeech motor control

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Area of Science:

  • Motor control
  • Speech production
  • Auditory feedback

Background:

  • Movement variability is often seen as noise, but may be actively regulated.
  • Previous research focused on simple lab tasks, leaving questions about complex behaviors like speech.
  • Speech production is a highly practiced, natural behavior relying on sensory feedback.

Purpose of the Study:

  • To investigate how motor variability is regulated during speech production.
  • To assess the impact of auditory feedback perturbations on speech variability.
  • To determine if motor variability control extends to complex, well-practiced behaviors.

Main Methods:

  • Four experiments used auditory feedback perturbations to alter perceived speech variability.
  • Participants produced vowels under 'inward' and 'outward' pushing perturbations.
  • Speech variability was measured during and after perturbation exposure.
  • Simulations using a state-space model analyzed perturbation effects.

Main Results:

  • 'Inward' perturbations increased speech variability during and after exposure.
  • 'Outward' perturbations increased variability during exposure, but it returned to baseline post-perturbation.
  • Outward perturbations failed to reduce variability, even with larger magnitudes or prior 'inward' perturbation.
  • Simulations suggest distinct mechanisms underlie variability changes.

Conclusions:

  • Motor variability is actively monitored and can be modulated in complex behaviors like speech.
  • Auditory feedback plays a role in regulating speech motor variability.
  • Models of speech motor control should account for the active control of variability.