NDLI: Exploring new features for music classification

Content Provider	IEEE Xplore Digital Library
Author	Foucard, R. Essid, S. Richard, G. Lagrange, M.
Copyright Year	2013
Description	Author affiliation: Ircam, STMS, UPMC, Paris, France (Lagrange, M.) \|\| Inst. Mines-Telecom, TELECOM ParisTech, Paris, France (Foucard, R.; Essid, S.; Richard, G.)
Abstract	Automatic music classification aims at grouping unknown songs in predefined categories such as music genre or induced emotion. To obtain perceptually relevant results, it is needed to design appropriate features that carry important information for semantic inference. In this paper, we explore novel features and evaluate them in a task of music automatic tagging. The proposed features span various aspects of the music: timbre, textual metadata, visual descriptors of cover art, and features characterizing the lyrics of sung music. The merit of these novel features is then evaluated using a classification system based on a boosting algorithm on binary decision trees. Their effectiveness for the task at hand is discussed with reference to the very common Mel Frequency Cepstral Coefficients features. We show that some of these features alone bring useful information, and that the classification system takes great advantage of a description covering such diverse aspects of songs.
Starting Page	1
Ending Page	4
File Size	131874
Page Count	4
File Format	PDF
ISBN	9781479908332
ISSN	21585873
DOI	10.1109/WIAMIS.2013.6616154
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Missing features Instruments Semantics Music Hidden Markov models Feature extraction Boosting Features Autotag-ging Mel frequency cepstral coefficient Music information retrieval
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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