NDLI: Music information retrieval by detecting mood via computational media aesthetics

Content Provider	IEEE Xplore Digital Library
Author	Yazhong Feng Yueting Zhuang Yunhe Pan
Copyright Year	2003
Description	Author affiliation: Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China (Yazhong Feng; Yueting Zhuang; Yunhe Pan)
Abstract	It is well known that music can convey emotion and modulate mood, to retrieve music by mood is sometimes the exclusive manner people select music to enjoy. We concentrate on music retrieval by detecting mood. Mood detection is implemented on the viewpoint of computational media aesthetics, that is, by analyzing two music dimensions, tempo and articulation, in the procedure of making music, we derive four categories of mood, happiness, anger, sadness and fear. Concretely, with regard to music in the format of raw audio, after tempo is detected using a multiple agent approach, a feature called relative tempo is calculated, and after the mean and standard deviation of the feature called average silence ratio in the presented computational articulation model are calculated, a simple BP neural network classifier is trained to detect mood. Users retrieval music by browsing the 3D visualization of feature space associated with specific mood. We report the experimental result on a test corpus of 353 pieces of popular music with various genres.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Intelligence (TCCI) Web Intelligence Consortium (WIC)
Starting Page	235
Ending Page	241
File Size	329953
Page Count	7
File Format	PDF
ISBN	0769519326
DOI	10.1109/WI.2003.1241199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Mood Computational modeling Neural networks Educational institutions Computer networks Multiple signal classification Internet Music information retrieval Recommender systems
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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