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Does Talker-Specific Information Influence Lexical Competition? Evidence From Phonological Priming
Sophie Dufour1,2, Noël Nguyen1,2
1Aix-Marseille University, CNRS, LPL, UMR 7309.
Spoken word recognition models may be sensitive to talker-specific information. Repeated exposure to words from the same talker can influence lexical competition, impacting how we process speech.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Speech Processing
Background:
- Models of spoken word recognition often assume lexical competition is talker-invariant.
- Investigating talker-specific information is crucial for understanding the nuances of speech perception.
Purpose of the Study:
- To determine if the lexical competition process in spoken word recognition is sensitive to talker-specific information.
- To explore the role of talker repetition in modulating competition effects.
Main Methods:
- A lexical decision task was employed with a long lag priming experiment.
- Stimuli involved phonemically similar primes and targets (e.g., /bagaR/ vs. /bagaƷ/).
- Two experiments varied the presentation frequency of competitor prime blocks and examined talker changes between primes and targets.
Main Results:
- Experiment 1 showed no modulation of competitor priming with a single presentation of the prime block, regardless of talker change.
- Experiment 2 revealed an attenuation of the competitor priming effect when a talker change occurred after five presentations of the prime block.
- This suggests that repeated exposure to a talker influences lexical competition.
Conclusions:
- Findings support hybrid models of spoken word recognition that incorporate talker-dependent representations.
- Repetition of words by the same talker may be a key factor in forming and accessing these talker-specific representations.
- Talker-specific information plays a significant role in spoken word recognition.
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