Computer audition

Computer audition (CA) or machine listening is the general field of study of <a href="/facts/Algorithm/fnl5NmRt">algorithms</a> and systems for audio interpretation by machines. 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 <a href="/facts/Paris_Smaragdis/gxujW8og">Paris Smaragdis</a>, interviewed in <a href="/facts/MIT_Technology_Review/tk8zUzg2">Technology Review</a>, 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."
Inspired by models of <a href="/facts/Hearing_(sense)/EPYrVkSx">human audition</a>, CA deals with questions of representation, <a href="/facts/Transduction_(machine_learning)/YBMCKGfo">transduction</a>, grouping, use of musical knowledge and general sound <a href="/facts/Semantics/1L4WwLAP">semantics</a> 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 <a href="/facts/Signal_processing/Npaja6zb">signal processing</a>, auditory modelling, music perception and <a href="/facts/Cognition/ga0tSBul">cognition</a>, <a href="/facts/Pattern_recognition/o1s38opj">pattern recognition</a>, and <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>, as well as more traditional methods of <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> for musical knowledge representation.

Computer audition open-in-new

Computer audition