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A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments

Ewert, S, Plumbley, MD and Sandler, M (2015) A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015-04-19 - 2015-04-24, Brisbane, Australia.

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Abstract

Given a musical audio recording, the goal of music transcription is to determine a score-like representation of the piece underlying the recording. Most current transcription methods employ variants of non-negative matrix factorization (NMF), which often fails to robustly model instruments producing non-stationary sounds. Using entire time-frequency patterns to represent sounds, non-negative matrix deconvolution (NMD) can capture certain types of nonstationary behavior but is only applicable if all sounds have the same length. In this paper, we present a novel method that combines the non-stationarity modeling capabilities available with NMD with the variable note lengths possible with NMF. Identifying frames in NMD patterns with states in a dynamical system, our method iteratively generates sound-object candidates separately for each pitch, which are then combined in a global optimization. We demonstrate the transcription capabilities of our method using piano pieces assuming the availability of single note recordings as training data.

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
Ewert, SUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Sandler, MUNSPECIFIEDUNSPECIFIED
Date : April 2015
Additional Information : © 2015 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.
Depositing User : Symplectic Elements
Date Deposited : 08 May 2015 17:24
Last Modified : 05 Jul 2015 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/807616

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