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Never mind the repeat: How speech expectations reduce tracking at the cocktail party
Thaiz Sánchez-Costa1, Alejandra Carboni2, Francisco Cervantes Constantino3
1Master's Program in Cognitive Sciences, Universidad de la República, Uruguay; Centro de Investigación Básica en Psicología, Facultad de Psicología, Universidad de la República, Uruguay.
Prior experience with speech reduces neural processing of target sounds in noisy environments. This brain mechanism, observed in electroencephalography (EEG) recordings, helps focus on conversations by predicting auditory information.
Area of Science:
- Auditory Neuroscience
- Cognitive Neuroscience
- Speech Processing
Background:
- The brain selectively processes speech in noisy environments by leveraging past experiences.
- Understanding how prior experience alters neural processing of speech mixtures is crucial for auditory perception research.
Purpose of the Study:
- To investigate changes in selective neural processing of speech mixtures due to listener experience.
- To examine how attention interacts with different types of speech priming (exact, voice, message) on cortical responses.
Main Methods:
- Utilized three priming experiments to quantify cortical selection of temporal speech landmarks.
- Applied the temporal response function (TRF) method to single-trial electroencephalography (EEG) recordings.
- Analyzed attentional effects on speech processing based on target and background speaker priming.
Main Results:
- Prior experience led to attenuations in cortical responses during multispeaker listening, counteracting typical attentional gains.
- Observed significant changes at the P2 processing stage (220-320 msec) specifically for primed speech targets.
- No suppressions were found at earlier processing stages or under partial priming conditions.
Conclusions:
- Late-stage selective attention involves the auditory system testing its predictive model of speech.
- A reduction in the P2 component correlates with improved target word recall, suggesting its role in temporal prediction error detection.
- The auditory system refines temporal structure inference for continuous speech representation based on predictive models.
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