COMPLEX DOMAIN ONSET DETECTION FOR MUSICAL SIGNALS

Chris Duxbury; Juan Pablo Bello; Mike Davies; Mark Sandler

COMPLEX DOMAIN ONSET DETECTION FOR MUSICAL SIGNALS

Chris Duxbury, Juan Pablo Bello, Mike Davies, Mark Sandler

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present a novel method for onset detection in musical signals. It improves over previous energy-based and phase-based approaches by combining both types of information in the complex domain. It generates a detection function that is sharp at the position of onsets and smooth everywhere else. Results on a handlabelled data-set show that high detection rates can be achieved at very low error rates. The approach is more robust than its predecessors both theoretically and practically.

Original language	English (US)
Journal	Proceedings of the International Conference on Digital Audio Effects, DAFx
State	Published - 2003
Externally published	Yes
Event	6th International Conference on Digital Audio Effects, DAFx 2003 - London, United Kingdom Duration: Sep 8 2003 → Sep 11 2003

ASJC Scopus subject areas

Computer Science Applications
Signal Processing
Music

Cite this

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title = "COMPLEX DOMAIN ONSET DETECTION FOR MUSICAL SIGNALS",

abstract = "We present a novel method for onset detection in musical signals. It improves over previous energy-based and phase-based approaches by combining both types of information in the complex domain. It generates a detection function that is sharp at the position of onsets and smooth everywhere else. Results on a handlabelled data-set show that high detection rates can be achieved at very low error rates. The approach is more robust than its predecessors both theoretically and practically.",

author = "Chris Duxbury and Bello, {Juan Pablo} and Mike Davies and Mark Sandler",

year = "2003",

language = "English (US)",

journal = "Proceedings of the International Conference on Digital Audio Effects, DAFx",

issn = "2413-6700",

publisher = "DAFx",

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TY - JOUR

T1 - COMPLEX DOMAIN ONSET DETECTION FOR MUSICAL SIGNALS

AU - Duxbury, Chris

AU - Bello, Juan Pablo

AU - Davies, Mike

AU - Sandler, Mark

PY - 2003

Y1 - 2003

N2 - We present a novel method for onset detection in musical signals. It improves over previous energy-based and phase-based approaches by combining both types of information in the complex domain. It generates a detection function that is sharp at the position of onsets and smooth everywhere else. Results on a handlabelled data-set show that high detection rates can be achieved at very low error rates. The approach is more robust than its predecessors both theoretically and practically.

AB - We present a novel method for onset detection in musical signals. It improves over previous energy-based and phase-based approaches by combining both types of information in the complex domain. It generates a detection function that is sharp at the position of onsets and smooth everywhere else. Results on a handlabelled data-set show that high detection rates can be achieved at very low error rates. The approach is more robust than its predecessors both theoretically and practically.

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UR - http://www.scopus.com/inward/citedby.url?scp=79958714288&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:79958714288

SN - 2413-6700

JO - Proceedings of the International Conference on Digital Audio Effects, DAFx

JF - Proceedings of the International Conference on Digital Audio Effects, DAFx

T2 - 6th International Conference on Digital Audio Effects, DAFx 2003

Y2 - 8 September 2003 through 11 September 2003

ER -

COMPLEX DOMAIN ONSET DETECTION FOR MUSICAL SIGNALS

Abstract

ASJC Scopus subject areas

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