An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures

Siamantas, Georgios (2009) An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures. PhD thesis, University of York.

Abstract

Metadata

Supervisors: Szymanski, John E
Keywords: signal, source separation, audio, residual, monaural, music information retrieval, spectral filtering, semi-blind, underdetermined, multipitch estimation, note onset detection
Awarding institution: University of York
Academic Units: The University of York > Electronics (York)
Identification Number/EthosID: uk.bl.ethos.534917
Depositing User: Mr Georgios Siamantas
Date Deposited: 26 Aug 2011 09:57
Last Modified: 08 Sep 2016 12:20

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