Auditory Feature Binding and Its Hierarchical Computational Model

When we intend to grasp a sound target, perhaps its signal is in the presence of competing signals. An effective solution is to concentrate on the target’s sound features selected and extracted from the various mixed auditory features. This is so-called auditory feature binding. It plays an important role in the cognitive and neuroscience. In this paper, we will describe the conceptual frame named “auditory feature binding” and then put forward its hierarchical computational model. We think that it may be used in machine auditory perception which will over-fly from the primary audition sense to the senior audition perception and cognition. Besides, we will later combine it with visual feature binding to realize cooperation of vision-audition cross-modal perception which is emphasized in the National Science Fund of China Project “Research on Synergic Learning Algorithm of vision-audition Cross-modal Coherence”.