An Initial Description of Capabilities and Constraints for a Computational Auditory System (an Artificial Ear) for Cognitive Architectures
This work addresses the need for auditory processing in cognitive architectures, but it is incremental as it provides a preliminary description rather than a full implementation.
The paper tackles the problem of defining a Computational Auditory System (CAS) for cognitive architectures by outlining its tasks, features, and constraints, with results including an initial set of functionalities and insights on development.
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.