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Related Experiment Video

Updated: Aug 11, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Published on: September 27, 2024

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Multiple sources of acoustic variation affect speech processing efficiency.

Alexandra M Kapadia1, Jessica A A Tin1, Tyler K Perrachione1

  • 1Department of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.

The Journal of the Acoustical Society of America
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

Both between-talker and within-talker phonetic variation impact speech perception efficiency. While both affect processing, they have unique effects on accuracy and response times, influencing how we understand speech.

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Auditory Neuroscience

Background:

  • Phonetic variability in speech perception is a known challenge.
  • Between-talker variability (different speakers) increases processing costs.
  • Within-talker variability (same speaker, different recordings) is less understood.

Purpose of the Study:

  • To compare the processing costs of within-talker versus between-talker phonetic variability.
  • To investigate how different sources of variability affect speech identification accuracy and response times.
  • To determine if the similarity of phonological contrasts influences the impact of variability.

Main Methods:

  • Listeners performed a speeded word identification task.
  • Manipulated three factors: between-talker variability, within-talker variability, and word-choice set size.
  • Measured word-identification accuracy and response times.

Main Results:

  • All three sources of variability reduced speech processing efficiency.
  • Between-talker variability impacted both accuracy and response time.
  • Within-talker variability affected only response time.
  • Between-talker variability had a greater impact with more similar phonological contrasts.

Conclusions:

  • Natural between- and within-talker variability represent distinct magnitudes of acoustic-phonetic variation.
  • Both types of variability affect speech processing efficiency but in qualitatively and quantitatively unique ways.
  • Differences in obscuring acoustic-phonemic correspondences explain the unique effects of each variability type.