Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
A beat tracking system for acoustic signals of music
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
The Shazam music recognition service
Communications of the ACM - Music information retrieval
Signal Processing Methods for Music Transcription
Signal Processing Methods for Music Transcription
Sound onset detection by applying psychoacoustic knowledge
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Three dimensions of pitched instrument onset detection
IEEE Transactions on Audio, Speech, and Language Processing
Context-Dependent Beat Tracking of Musical Audio
IEEE Transactions on Audio, Speech, and Language Processing
Analysis of the meter of acoustic musical signals
IEEE Transactions on Audio, Speech, and Language Processing
Comparing onset detection methods based on spectral features
Proceedings of the Workshop on Open Source and Design of Communication
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Onset detection is the basis for several high-level musical processing tasks such as Beat Tracking, Chord Estimation or Music Genre Classification. In this paper, the complete process that leads from the "raw signal" to onset detection is described. The most important onset detection methods are reviewed, explained and organized in categories, according to the properties of their reduction functions: time domain reduction functions, spectral domain reduction functions, probabilistic reduction functions, pitch-based onset detection techniques and data-driven reduction functions. We also discuss the applications of onset detection to Human-Computer Interaction, more properly on the change of paradigm provided by the new Music Visualization and Browsing methods.