Computational auditory scene analysis in cellular wave computing framework

摘要

Extracting substantive auditory objects from an auditory mixture is a widely studied and difficult problem in auditory research. Computational auditory scene analysis (CASA) aims at extracting objects in the frequency domain, based on a set of psychoacoustic grouping procedures. To mimic some aspects of the human auditory system a new cellular neuralon-linear network (CNN)-based library of procedures forming an Auditory Wave Computing Toolkit (AWCT) is presented here.