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Computational Models of Auditory Scene Analysis: A Review.

Beáta T Szabó¹, Susan L Denham², István Winkler³

¹Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityBudapest, Hungary; Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of SciencesBudapest, Hungary.

Frontiers in Neuroscience

|November 30, 2016

Summary

Computational models of auditory scene analysis (ASA) are reviewed, focusing on grouping, separation, and prediction. Current models are fragmentary, assessing specific algorithms rather than offering general interpretations of ASA.

Keywords:

auditory object representation auditory scene analysis auditory streaming bi-/multi-stable perception computational model predictive processing

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Area of Science:

Cognitive Science
Auditory Perception
Computational Neuroscience

Background:

Auditory scene analysis (ASA) involves parsing complex sounds into perceptual objects.
Recent advancements include numerous computational models for ASA phenomena.

Approach:

Theoretically motivated review of recent computational models for ASA.
Analysis of how models achieve sound grouping and separation.
Examination of predictive processes and model evaluation.

Key Points:

Models focus on specific algorithms for source identification, not general interpretations.
Investigates the role of competition between interpretations in ASA models.
Assesses the inclusion of predictive processing in current ASA models.

Conclusions:

Current computational models of ASA are fragmentary.
Models assess specific processes rather than providing comprehensive ASA theories.
Future work can integrate complementary aspects for a unified ASA theory.