Towards effective content-based music retrieval with multiple acoustic feature combination

In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron...

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Main Authors: SHEN, Jialie, Shepherd, John, NGU, Ann H. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/sis_research/3546
https://ink.library.smu.edu.sg/context/sis_research/article/4547/viewcontent/EffContentBased_MusicRetrievalAcoustics_2006.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-45472017-03-27T03:51:12Z Towards effective content-based music retrieval with multiple acoustic feature combination SHEN, Jialie Shepherd, John NGU, Ann H. H. In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron neural network. This architecture enables straightforward incorporation of multiple musical feature vectors, based on properties such as timbral texture, pitch, and rhythm structure, into a single low-dimensioned vector that is more effective for classification than the larger individual feature vectors. The use of supervised training enables incorporation of human musical perception that further enhances the classification process. We compare our approach with state of the art techniques and demonstrate its effectiveness on content-based music retrieval. In addition, extensive experimental study illustrates its effectiveness and robustness against various kinds of audio alteration. 2006-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3546 info:doi/10.1109/TMM.2006.884618 https://ink.library.smu.edu.sg/context/sis_research/article/4547/viewcontent/EffContentBased_MusicRetrievalAcoustics_2006.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Classification Multimedia database Music retrieval Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Classification
Multimedia database
Music retrieval
Computer Sciences
Databases and Information Systems
spellingShingle Classification
Multimedia database
Music retrieval
Computer Sciences
Databases and Information Systems
SHEN, Jialie
Shepherd, John
NGU, Ann H. H.
Towards effective content-based music retrieval with multiple acoustic feature combination
description In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron neural network. This architecture enables straightforward incorporation of multiple musical feature vectors, based on properties such as timbral texture, pitch, and rhythm structure, into a single low-dimensioned vector that is more effective for classification than the larger individual feature vectors. The use of supervised training enables incorporation of human musical perception that further enhances the classification process. We compare our approach with state of the art techniques and demonstrate its effectiveness on content-based music retrieval. In addition, extensive experimental study illustrates its effectiveness and robustness against various kinds of audio alteration.
format text
author SHEN, Jialie
Shepherd, John
NGU, Ann H. H.
author_facet SHEN, Jialie
Shepherd, John
NGU, Ann H. H.
author_sort SHEN, Jialie
title Towards effective content-based music retrieval with multiple acoustic feature combination
title_short Towards effective content-based music retrieval with multiple acoustic feature combination
title_full Towards effective content-based music retrieval with multiple acoustic feature combination
title_fullStr Towards effective content-based music retrieval with multiple acoustic feature combination
title_full_unstemmed Towards effective content-based music retrieval with multiple acoustic feature combination
title_sort towards effective content-based music retrieval with multiple acoustic feature combination
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/sis_research/3546
https://ink.library.smu.edu.sg/context/sis_research/article/4547/viewcontent/EffContentBased_MusicRetrievalAcoustics_2006.pdf
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