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Computer audition

Computer audition (CA) or machine listening is the general field of study of algorithms 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…

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Map overview Semantic statistics

Computer audition

Nodes51
Edges50
Triples54
Avg. degree1.96
Density0.039216
Components1

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Computer audition

Top relations

related to External links · 11
Computer audition → Aalborg University Copenhagen, Bangalore, Computer AuditionDepartment, Denmark, Electrical Engineering, George Tzanetakis' Computer Audition, IIT, Music Computing, ResourcesShlomo Dubnov's Tutorial, Sound, UCSD Computer Audition Lab
related to Representation issues · 8
Computer audition → Additional, Audio, Computer, Digital, MIDI, One, Parametric, Since
related to Auditory cognition · 5
Computer audition → Animals, Generally, Listening, People, This
related to Related disciplines · 5
Computer audition → Auditory, Computational, Computer, Machine, Music
has application · 3
Computer audition → Applications, It, Like
related to Multi-modal analysis · 2
Computer audition → Among, In

Important terminology Word statistics

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Important terminology

audio musical computer music audition sound signals machine methods general analysis representation features auditory knowledge representations models sounds detection multiple

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
pitch shiftinginstance ofaudio transformations0.80text
time stretchinginstance ofaudio transformations0.80text
and sound object filteringinstance ofaudio transformations0.80text
should be perceptuallyinstance ofaudio transformations0.80text
musically meaningfulinstance ofaudio transformations0.80text
energyinstance ofone could divide the features into signal or mathematical descriptors0.80text
description of spectral shape etc.instance ofone could divide the features into signal or mathematical descriptors0.80text
statistical characterization such as change or novelty detectioninstance ofone could divide the features into signal or mathematical descriptors0.80text
special representations that are better adapted to the nature of musical signals or the auditory systeminstance ofone could divide the features into signal or mathematical descriptors0.80text
such as logarithmic growth of sensitivityinstance ofone could divide the features into signal or mathematical descriptors0.80text
texture synthesisinstance ofFinding repetitions and similar sub-sequences of sonic events is important for tasks0.80text
machine improvisation.Source separationSince one of the basic characteristics of general audio is that it comprises multiple simultaneously sounding sourcesinstance ofFinding repetitions and similar sub-sequences of sonic events is important for tasks0.80text

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