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Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
Published on: August 9, 2024
Perceptual consistency in phoneme categorization is driven by neural consistency and predicts improved
Biorxiv : the Preprint Server for Biology
|July 10, 2026
Summary
Consistent speech sound categorization improves understanding speech-in-noise (SIN). This perceptual consistency is linked to more stable neural encoding in the brainstem and cortex, benefiting overall speech perception.
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Neurobiology of Language
Background:
- Listeners categorize speech sounds, but individual variability exists.
- Perceptual consistency may enhance speech-in-noise (SIN) understanding.
- Neural correlates of perceptual consistency across auditory processing levels are not well understood.
Purpose of the Study:
- To investigate the relationship between behavioral consistency in speech categorization and SIN performance.
- To examine how neural consistency in frequency-following responses (FFRs) and event-related potentials (ERPs) relates to behavioral consistency.
- To determine whether subcortical and cortical auditory responses encode acoustic or categorical speech information.
Main Methods:
- Recorded FFRs and ERPs during vowel labeling tasks along an acoustic-phonetic continuum.
- Computed intertrial consistency of neural responses to assess stability.
- Utilized representational dissimilarity matrices (RDMs) to compare neural, acoustic, and phonetic representations.
Main Results:
- Greater behavioral consistency in phoneme labeling correlated with higher SIN scores.
- Increased cortical or subcortical neural consistency predicted enhanced behavioral consistency.
- Subcortical responses preserved more acoustic detail, while cortical responses reflected abstract phoneme categories.
Conclusions:
- Perceptual consistency in speech categorization offers benefits for speech perception, particularly in noisy environments.
- Neural consistency at subcortical or cortical levels drives perceptual consistency.
- Stable neural encoding supports robust speech signal readout for downstream processing.
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