Article

On the extraction of vocal-related information to facilitate the management of popular music collections

Authors:

Hsin-Min WangAuthors Info & Claims

JCDL '05: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries

Pages 197 - 206

https://doi.org/10.1145/1065385.1065432

Published: 07 June 2005 Publication History

Abstract

With the explosive growth of networked collections of musical material, there is a need to establish a mechanism like a digital library to manage music data. This paper presents a content-based processing paradigm of popular song collections to facilitate the realization of a music digital library. The paradigm is built on the automatic extraction of information of interest from music audio signals. Because the vocal part is often the heart of a popular song, we focus on developing techniques to exploit the solo vocal signals underlying an accompanied performance. This supports the necessary functions of a music digital library, namely, music data organization, music information retrieval/recommendation, and copyright protection.

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Cited By

Lavranos CKostagiolas PPapadatos J(2016)Information Retrieval Technologies and the “Realities” of Music Information SeekingBusiness Intelligence10.4018/978-1-4666-9562-7.ch032(612-631)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9562-7.ch032
Lavranos CKostagiolas PPapadatos J(2016)Information Retrieval Technologies and the “Realities” of Music Information SeekingExperimental Multimedia Systems for Interactivity and Strategic Innovation10.4018/978-1-4666-8659-5.ch005(102-121)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-8659-5.ch005
Chen RLuo ZZhong YLuo XGao YZheng G(2011)Research and Realization of a SVS Algorithm Based on STFT and NDFTProceedings of the 2011 International Conference on Network Computing and Information Security - Volume 0210.1109/NCIS.2011.178(396-400)Online publication date: 14-May-2011
https://dl.acm.org/doi/10.1109/NCIS.2011.178
Show More Cited By

Index Terms

On the extraction of vocal-related information to facilitate the management of popular music collections
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Data mining
      1. Clustering
    2. Digital libraries and archives

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cover image ACM Conferences

JCDL '05: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries

June 2005

450 pages

ISBN:1581138768

DOI:10.1145/1065385

General Chair:
Mary Marlino
DLESE Program Center, University Corporation for Atmospheric Research (UCAR)
,
Program Chairs:
Tamara Sumner
University of Colorado at Boulder
,
Frank Shipman
Texas A & M University

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 June 2005

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June 7 - 11, 2005

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

Lavranos CKostagiolas PPapadatos J(2016)Information Retrieval Technologies and the “Realities” of Music Information SeekingBusiness Intelligence10.4018/978-1-4666-9562-7.ch032(612-631)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9562-7.ch032
Lavranos CKostagiolas PPapadatos J(2016)Information Retrieval Technologies and the “Realities” of Music Information SeekingExperimental Multimedia Systems for Interactivity and Strategic Innovation10.4018/978-1-4666-8659-5.ch005(102-121)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-8659-5.ch005
Chen RLuo ZZhong YLuo XGao YZheng G(2011)Research and Realization of a SVS Algorithm Based on STFT and NDFTProceedings of the 2011 International Conference on Network Computing and Information Security - Volume 0210.1109/NCIS.2011.178(396-400)Online publication date: 14-May-2011
https://dl.acm.org/doi/10.1109/NCIS.2011.178
Cai WLi QGuan X(2011)Automatic singer identification based on auditory features2011 Seventh International Conference on Natural Computation10.1109/ICNC.2011.6022500(1624-1628)Online publication date: Jul-2011
https://doi.org/10.1109/ICNC.2011.6022500
Meintanis KShipman F(2010)Visual Expression for Organizing and Accessing Music Collections in MusicWizResearch and Advanced Technology for Digital Libraries10.1007/978-3-642-15464-5_10(80-91)Online publication date: 2010
https://doi.org/10.1007/978-3-642-15464-5_10
Chang P(2009)Pitch Oriented Automatic Singer Identification in Pop MusicProceedings of the 2009 IEEE International Conference on Semantic Computing10.1109/ICSC.2009.28(161-166)Online publication date: 14-Sep-2009
https://dl.acm.org/doi/10.1109/ICSC.2009.28
Arnold DPack GMiller B(2006)Tree-based overlay networks for scalable applicationsProceedings of the 20th international conference on Parallel and distributed processing10.5555/1898699.1898719(223-223)Online publication date: 25-Apr-2006
https://dl.acm.org/doi/10.5555/1898699.1898719
Lu XMitra PWang JGiles CMarchionini GNelson MMarshall C(2006)Automatic categorization of figures in scientific documentsProceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries10.1145/1141753.1141778(129-138)Online publication date: 11-Jun-2006
https://dl.acm.org/doi/10.1145/1141753.1141778
Arnold DPack GMiller B(2006)Tree-based overlay networks for scalable applicationsProceedings 20th IEEE International Parallel & Distributed Processing Symposium10.1109/IPDPS.2006.1639493(8 pp.)Online publication date: 2006
https://doi.org/10.1109/IPDPS.2006.1639493

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