An Initial Description of Capabilities and Constraints for a Computational Auditory System (an Artificial Ear) for Cognitive Architectures

TL;DR

This paper introduces initial concepts, features, and constraints for developing a computational auditory system, or artificial ear, designed to integrate with cognitive architectures and support auditory tasks.

Contribution

It defines the foundational features and factors influencing a computational auditory system for cognitive architectures, outlining its capabilities and current development status.

Findings

Set of functionalities for an artificial ear

Initial features and constraints identified

Insights on integrating CAS with cognitive architectures

Abstract

We present an initial set of factors, features, and constraints for developing a Computational Auditory System (CAS, aka less formally an artificial ear, AE) for use by cognitive architectures. We start to define a CAS and what tasks it should be able to perform. We then outline the features of a CAS for use by a cognitive architecture and factors that influence its performance. We conclude with an update on what has been created so far and insights on how to create and use a CAS in a cognitive architecture and include a set of functionalities for an artificial ear.