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Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity

O'Hanlon, K and Plumbley, MD (2014) Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Abstract

Non-negative Matrix Factorisation (NMF) is a popular tool in musical signal processing. However, problems using this methodology in the context of Automatic Music Transcription (AMT) have been noted resulting in the proposal of supervised and constrained variants of NMF for this purpose. Group sparsity has previously been seen to be effective for AMT when used with stepwise methods. In this paper group sparsity is introduced to supervised NMF decompositions and a dictionary tuning approach to AMT is proposed based upon group sparse NMF using the β-divergence. Experimental results are given showing improved AMT results over the state-of-the-art NMF-based AMT system.

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
O'Hanlon, KUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Date : May 2014
Identification Number : 10.1109/ICASSP.2014.6854173
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 16:04
Last Modified : 18 Jun 2015 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/807426

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