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Improving instrument recognition in polyphonic music through system integration

Giannoulis, D, Benetos, E, Klapuri, A and Plumbley, MD (2014) Improving instrument recognition in polyphonic music through system integration In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Abstract

A method is proposed for instrument recognition in polyphonic music which combines two independent detector systems. A polyphonic musical instrument recognition system using a missing feature approach and an automatic music transcription system based on shift invariant probabilistic latent component analysis that includes instrument assignment. We propose a method to integrate the two systems by fusing the instrument contributions estimated by the first system onto the transcription system in the form of Dirichlet priors. Both systems, as well as the integrated system are evaluated using a dataset of continuous polyphonic music recordings. Detailed results that highlight a clear improvement in the performance of the integrated system are reported for different training conditions.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Giannoulis, DUNSPECIFIEDUNSPECIFIED
Benetos, EUNSPECIFIEDUNSPECIFIED
Klapuri, AUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Date : May 2014
Identification Number : 10.1109/ICASSP.2014.6854599
Additional Information : Copyright 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, 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 components of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 22 Apr 2015 16:00
Last Modified : 23 Apr 2015 01:33
URI: http://epubs.surrey.ac.uk/id/eprint/807425

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