Unsupervised analysis of polyphonic music by sparse coding

SA Abdallah; MD Plumbley

doi:10.1109/TNN.2005.861031

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Unsupervised analysis of polyphonic music by sparse coding

Journal article

Peer reviewed

Unsupervised analysis of polyphonic music by sparse coding

SA Abdallah and MD Plumbley

IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol.17(1), pp.179-196

01/01/2006

DOI: https://doi.org/10.1109/TNN.2005.861031

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Hardware & Architecture

Computer Science

Theory & Methods

Engineering

Electrical & Electronic

Computer Science

Engineering

learning overcomplete dictionaries

polyphonic music

probabilistic modeling

redundancy reduction

sparse factorial coding

unsupervised learning

INDEPENDENT COMPONENT ANALYSIS

SOURCE SEPARATION

NATURAL IMAGES

ALGORITHMS

SIGNALS

STATISTICS

EMERGENCE

SYSTEM

CELLS

CODE

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Title: Unsupervised analysis of polyphonic music by sparse coding
Creators: SA Abdallah
MD Plumbley
Publication Details: IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol.17(1), pp.179-196
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/01/2006
Date submitted: 17/05/2017
Identifiers: 99512587202346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

Unsupervised analysis of polyphonic music by sparse coding

Abstract

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