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City Barcelona / Montreal / London / Hamburg / / Company International Computer Music / EURASIP Journal / Intel / Live Computer Music / Interactive Music Systems / / Country Germany / Canada / United Kingdom / Spain / / Currency pence / / Facility University of London ABSTRACT We / University of London / University of Cambridge / University of Bristol / / IndustryTerm low energy levels / automatic onset detection algorithms / real-time applications efficiency / iterative algorithm / onset detection algorithm / music systems / real-time applications / neural networks / adaptive whitening algorithm / machine learning tools / power algorithm / typical processors / online and real-time processes / peak-picking algorithms / supervised classification algorithm / divergence algorithm / / Organization Beethoven’s Fifth Symphony / University of Bristol / University of Cambridge / University of London ABSTRACT We / Percussive Arts Society / Mark Plumbley Centre for Digital Music Queen Mary / University of London / / Person Mary / Vic Firth / Morgan Kaufmann / / Position Queen / drummer / first author / / Product Pentax K-x Digital Camera / / ProgrammingLanguage DC / C++ / / ProvinceOrState Quebec / / PublishedMedium Computer Music Journal / / Technology peak-picking algorithms / FFT algorithm / resulting iterative algorithm / Modified KullbackLeibler divergence algorithm / power algorithm / Data Mining / machine learning / automatic onset detection algorithms / adaptive whitening algorithm / MIDI / onset detection algorithm / / URL www.vicfirth.com/education / www.music-ir.org/mirex2006/index / www.elec.qmul.ac.uk/digitalmusic/downloads / / SocialTag 
ADAPTIVE WHITENING FOR IMPROVED REAL-TIME AUDIO ONSET DETECTION Dan Stowell, Mark Plumbley Centre for Digital Music Queen Mary, University of London ABSTRACT