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Updated: Nov 11, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
Perceptual learning of multiple talkers requires additional exposure
Sahil Luthra1,2, Hannah Mechtenberg3, Emily B Myers3,4,5
1Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA. sahil.luthra@uconn.edu.
Listeners adapt to unique speech patterns by updating generative models. Simultaneously updating models for two talkers is harder than updating one, suggesting a perceptual cost to processing multiple talker-specific adaptations.
Area of Science:
- Psycholinguistics
- Auditory Perception
- Speech Processing
Background:
- Listeners maintain distinct generative models for different talkers to interpret speech.
- Phonetic recalibration allows listeners to adapt to idiosyncratic speech sound productions.
- Previous research shows talker-specific recalibration, but simultaneous adaptation is less understood.
Purpose of the Study:
- To investigate the perceptual cost of simultaneously updating two distinct generative models compared to updating one at a time.
- To examine how listeners adapt to idiosyncratic speech productions when exposed to multiple talkers concurrently versus sequentially.
- To explore the cognitive mechanisms underlying talker-specific phonetic recalibration.
Main Methods:
- Listeners were exposed to two talkers with atypical /s/ and /∫/ productions.
- Experiment 1: Talkers were blocked by voice (sequential exposure).
- Experiment 2: Talkers were intermixed during learning (simultaneous exposure).
- Lexical information disambiguated phoneme identity in ambiguous contexts.
Main Results:
- Listeners recalibrated more quickly when talkers were presented sequentially (Experiment 1).
- Simultaneous exposure to two talkers required significantly more exposure trials for adaptation (Experiment 2).
- A perceptual cost exists when updating multiple generative models concurrently.
Conclusions:
- Simultaneously updating distinct generative models for multiple talkers incurs a perceptual cost.
- Listeners may need to select which generative model to update, slowing adaptation.
- This finding has implications for understanding real-world speech perception with multiple unfamiliar talkers.
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