Abstract
In this paper the ingredients of computing auditory perception are reviewed. On the basic level there is neurophysiology, which is abstracted to artificial neural nets (ANNs) and enhanced by statistics to machine learning. There are high-level cognitive models derived from psychoacoustics (especially Gestalt principles). The gap between neuroscience and psychoacoustics has to be filled by numerics, statistics and heuristics. Computerised auditory models have a broad and diverse range of applications: hearing aids and implants, compression in audio codices, automated music analysis, music composition, interactive music installations, and information retrieval from large databases of music samples.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
