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Recognition of harmonic sounds in polyphonic audio using a missing feature approach

Giannoulis, D, Klapuri, A and Plumbley, MD (2013) Recognition of harmonic sounds in polyphonic audio using a missing feature approach In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013-05-26 - 2013-05-31, Vancouver, CANADA.

GiannoulisKlapuriPlumbley13-icassp_accepted_notice.pdf - Accepted version Manuscript

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A method based on local spectral features and missing feature techniques is proposed for the recognition of harmonic sounds in mixture signals. A mask estimation algorithm is proposed for identifying spectral regions that contain reliable information for each sound source and then bounded marginalization is employed to treat the feature vector elements that are determined as unreliable. The proposed method is tested on musical instrument sounds due to the extensive availability of data but it can be applied on other sounds (i.e. animal sounds, environmental sounds), whenever these are harmonic. In simulations the proposed method clearly outperformed a baseline method for mixture signals.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Giannoulis, D
Klapuri, A
Date : 1 January 2013
DOI : 10.1109/ICASSP.2013.6639356
Copyright Disclaimer : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
Uncontrolled Keywords : Science & Technology, Technology, Acoustics, Engineering, Electrical & Electronic, Engineering, SPEECH
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:21
Last Modified : 16 Jan 2019 18:43

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