Enhanced polyphonic music genre classification using high level features

Arash Foroughmand Arabi; Guojun Lu

Enhanced polyphonic music genre classification using high level features

Arash Foroughmand Arabi, Guojun Lu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 2009 IEEE International Conference on Signal and Image Processing Applications
Editors	Low Sew Ming
Place of Publication	Kuala Lumpur Malaysia
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1 - 6
Number of pages	6
Volume	1
ISBN (Print)	9781424455621
Publication status	Published - 2009
Event	IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009 - Kuala Lumpur Malaysia, Kuala Lumpur, Malaysia Duration: 1 Jan 2009 → 19 Nov 2009

Conference

Conference	IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009
Abbreviated title	ICSIPA 2009
Country/Territory	Malaysia
City	Kuala Lumpur
Period	1/01/09 → 19/11/09

Cite this

@inproceedings{e63f749624a241bb8f5a16232a8d0c19,

title = "Enhanced polyphonic music genre classification using high level features",

author = "Arabi, \{Arash Foroughmand\} and Guojun Lu",

year = "2009",

language = "English",

isbn = "9781424455621",

volume = "1",

pages = "1 -- 6",

editor = "Ming, \{Low Sew\}",

booktitle = "Proceedings of the 2009 IEEE International Conference on Signal and Image Processing Applications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009, ICSIPA 2009 ; Conference date: 01-01-2009 Through 19-11-2009",

}

Arabi, AF & Lu, G 2009, Enhanced polyphonic music genre classification using high level features. in LS Ming (ed.), Proceedings of the 2009 IEEE International Conference on Signal and Image Processing Applications. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Kuala Lumpur Malaysia, pp. 1 - 6, IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009, Kuala Lumpur, Malaysia, 1/01/09.

Enhanced polyphonic music genre classification using high level features. / Arabi, Arash Foroughmand; Lu, Guojun.
Proceedings of the 2009 IEEE International Conference on Signal and Image Processing Applications. ed. / Low Sew Ming. Vol. 1 Kuala Lumpur Malaysia: IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 1 - 6.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Enhanced polyphonic music genre classification using high level features

AU - Arabi, Arash Foroughmand

AU - Lu, Guojun

PY - 2009

Y1 - 2009

UR - https://www.scopus.com/pages/publications/77954474183

M3 - Conference Paper

SN - 9781424455621

VL - 1

SP - 1

EP - 6

BT - Proceedings of the 2009 IEEE International Conference on Signal and Image Processing Applications

A2 - Ming, Low Sew

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Kuala Lumpur Malaysia

T2 - IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009

Y2 - 1 January 2009 through 19 November 2009

ER -

Enhanced polyphonic music genre classification using high level features

Conference

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Cite this