Editing Audio signal processing (section)

===Computer audition===
Computer audition (CA) or machine listening is the general field of study of [[Algorithm|algorithms]] and systems for audio interpretation by machines.<ref>{{cite book |url=http://www.igi-global.com/book/machine-audition-principles-algorithms-systems/40288 |title=Machine Audition: Principles, Algorithms and Systems |publisher=IGI Global |year=2011 |isbn=9781615209194}}</ref><ref>{{cite web |title=Machine Audition: Principles, Algorithms and Systems |url=http://epubs.surrey.ac.uk/596085/1/Wang_Preface_MA_2010.pdf}}</ref> Since the notion of what it means for a machine to "hear" is very broad and somewhat vague, computer audition attempts to bring together several disciplines that originally dealt with specific problems or had a concrete application in mind. The engineer [[Paris Smaragdis]], interviewed in ''[[MIT Technology Review|Technology Review]]'', talks about these systems {{--}} "software that uses sound to locate people moving through rooms, monitor machinery for impending breakdowns, or activate traffic cameras to record accidents."<ref>[http://www.technologyreview.com/blog/VideoPosts.aspx?id=17438 Paris Smaragdis taught computers how to play more life-like music]</ref>

Inspired by models of [[Hearing (sense)|human audition]], CA deals with questions of representation, [[Transduction (machine learning)|transduction]], grouping, use of musical knowledge and general sound [[semantics]] for the purpose of performing intelligent operations on audio and music signals by the computer. Technically this requires a combination of methods from the fields of [[signal processing]], [[auditory modelling]], music perception and [[cognition]], [[pattern recognition]], and [[machine learning]], as well as more traditional methods of [[artificial intelligence]] for musical knowledge representation.<ref name="Tanguiane1993">{{Cite book |last=Tanguiane (Tangian) |first=Andranick |title=Artificial Perception and Music Recognition |date=1993 |publisher=Springer |isbn=978-3-540-57394-4 |series=Lecture Notes in Artificial Intelligence |volume=746 |location=Berlin-Heidelberg}}</ref><ref name="Tangian1994">{{Cite journal |last=Tanguiane (Tanguiane) |first=Andranick |year=1994 |title=A principle of correlativity of perception and its application to music recognition |journal=Music Perception |volume=11 |issue=4 |pages=465–502 |doi=10.2307/40285634 |jstor=40285634}}</ref>