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Summary
This summary is machine-generated.

Listeners use higher-level cues for talker identification in familiar languages, reducing processing costs. In unfamiliar languages, they rely more on lower-level acoustic features, increasing costs, as shown by pupillometry and drift diffusion models (DDMs).

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Auditory Perception

Background:

  • Spoken language conveys both content and speaker identity.
  • Listeners utilize acoustic and higher-level linguistic cues for talker recognition.
  • Language familiarity influences the accessibility and utilization of these cues.

Purpose of the Study:

  • To investigate how listeners process talker identity cues across different language familiarities.
  • To examine the trade-offs between cue availability, processing costs, and evidence accumulation.
  • To test the reverse hierarchical framework in talker identity learning.

Main Methods:

  • Pupillometry to measure processing costs.
  • Behavioral error pattern analysis.
  • Drift diffusion models (DDMs) to model evidence accumulation and decision-making.

Main Results:

  • Talker identification was more accurate and less costly (lower pupil dilation) in English than Mandarin.
  • Listeners relied more on low-level acoustic features in Mandarin compared to English.
  • Higher evidence accumulation rates correlated with reduced pupil dilation.

Conclusions:

  • Listeners prioritize higher-level abstract representations for talker identification when available.
  • Unfamiliar languages necessitate reliance on less efficient, lower-level acoustic features.
  • Findings support the reverse hierarchical framework for talker identity processing.