The formation of auditory objects is of high interest for both the understanding of human hearing as well as for computer-based analysis of sound signals. Breaking down an acoustic scene into meaningful units facilitates the segregation and recognition of sound-sources from a mixture. These are abilities that are particularly challenging for machine listening as well as for hearing-impaired listeners. An early approach to explaining object perception in the visual domain was made by the Gestalt psychologists. They aimed at setting up specific rules according to which sensory input is grouped into either one coherent or multiple separate objects. Inspired by these Gestalt Rules and by exploiting physical and perceptual properties of sounds, different algorithms have been designed to segregate sound mixtures into auditory objects. This chapter reviews some literature on such algorithms and the underlying principles of auditory object formation with a special focus on the connection between perceptual findings and their technical implementation.
|Title of host publication||The Technology of Binaural Understanding|
|Place of Publication||Cham|
|Pages||33 - 59|
|Number of pages||27|
|Publication status||Published - 2020|
|Name||Modern Acoustics and Signal Processing|