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Published on: April 19, 2017
Speech Categorization Reveals the Role of Early-Stage Temporal-Coherence Processing in Auditory Scene Analysis
Vibha Viswanathan1, Barbara G Shinn-Cunningham2, Michael G Heinz3,4
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907 viswanav@purdue.edu.
Temporal coherence processing, especially across auditory channels, significantly improves speech understanding in noise. This crucial auditory scene analysis may begin in early brainstem auditory pathways, not just the cortex.
Area of Science:
- Auditory Neuroscience
- Computational Auditory Perception
- Speech Processing
Background:
- Temporal coherence of sound across spectral channels is vital for auditory grouping and scene segregation.
- Previous research on temporal coherence processing primarily focused on cortical areas, leaving the role of earlier auditory regions unexplored.
- Neurophysiological evidence suggests early auditory regions, like the cochlear nucleus, may initiate temporal-coherence-based scene analysis.
Purpose of the Study:
- To investigate if temporal-coherence processing in early auditory areas influences speech understanding in noisy environments.
- To test if physiologically plausible computational models can explain behavioral data on consonant categorization under masking.
- To determine if across-channel temporal-coherence processing improves predictions of speech perception errors (consonant confusions).
Main Methods:
- Conducted a behavioral experiment measuring consonant categorization in various masking conditions.
- Developed and tested computational models incorporating within-channel masking and across-channel temporal-coherence processing.
- Utilized consonant confusions as a detailed measure of speech categorization errors to rigorously test model predictions.
Main Results:
- Within-channel modulation masking alone could partially explain consonant confusions but failed when temporal fine structure cues were absent.
- The addition of across-channel temporal-coherence processing significantly enhanced the accuracy of confusion predictions across all tested conditions.
- Results indicate that temporal-coherence processing plays a substantial role in speech understanding in noise.
Conclusions:
- Across-channel temporal-coherence processing significantly contributes to auditory scene analysis and speech perception in noise.
- These findings suggest that computations supporting temporal-coherence processing may occur as early as the brainstem's auditory pathway.
- Consonant confusions offer a more detailed characterization of speech perception errors than intelligibility scores, providing deeper insights into auditory scene analysis mechanisms.
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