A Supervised Classification Algorithm for Note Onset Detection

A Supervised Classification Algorithm for Note Onset Detection

This paper presents a novel approach to detecting onsets in music audio files. We use a supervised learning algorithm to classify spectrogram frames extracted from digital audio as being onsets or nononsets. Frames classified as onsets are then treated with a simple peak-picking algorithm based on a...

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Bibliographic Details
Main Authors:	Douglas Eck, Alexandre Lacoste
Format:	Article
Language:	English
Published:	SpringerOpen 2007-01-01
Series:	EURASIP Journal on Advances in Signal Processing
Online Access:	http://dx.doi.org/10.1155/2007/43745

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