Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2008.4517560
Title: Onset detection in pitched non-percussive music using warping-compensated correlation
Authors: Schleusing, O. 
Zhang, B.
Wang, Y. 
Keywords: Feature Extraction
Information Retrieval
Music
Issue Date: 2008
Source: Schleusing, O., Zhang, B., Wang, Y. (2008). Onset detection in pitched non-percussive music using warping-compensated correlation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 117-120. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2008.4517560
Abstract: Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we present a system for automatic note onset detection in pitched non-percussive (PNP) musical sounds, which is the most challenging audio signal group for this task. We propose a new approach based on stable pitch cues and signal energy. A computationally inexpensive method for feature extraction, which efficiently suppresses vibrato, is combined with information derived from the signal energy in the feature space. Onsets are localized by a median filter based peak picking method. The proposed method is tested against a database of annotated violin recordings, covering a wide range of tempo and playing styles like vibrato and staccato. Our system outperforms prior state of the art systems with results for True Positives of 91.2% and False Positives of 9.2%. ©2008 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/40452
ISBN: 1424414849
ISSN: 15206149
DOI: 10.1109/ICASSP.2008.4517560
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

4
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

1
checked on Nov 20, 2017

Page view(s)

41
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.