NDLI: Musical query-by-description as a multiclass learning problem

Content Provider	IEEE Xplore Digital Library
Author	Whitman, B. Rifkin, R.
Copyright Year	2002
Description	Author affiliation: Music, Mind & Machine Group, MIT Media Lab, Cambridge, MA, USA (Whitman, B.)
Abstract	We present the query-by-description (QBD) component of "Kandem", a time-aware music retrieval system. The QBD system we describe learns a relation between descriptive text concerning a musical artist and their actual acoustic output, making such queries as "Play me something loud with an electronic beat" possible by merely analyzing the audio content of a database. We show a novel machine learning technique based on regularized least-squares classification (RLSC) that can quickly and efficiently learn the non-linear relation between descriptive language and audio features by treating the problem as a large number of possible output classes linked to the same set or input features. We show how the RLSC training can easily eliminate irrelevant labels.
Sponsorship	IEEE Signal Process. Soc
Starting Page	153
Ending Page	156
File Size	329613
Page Count	4
File Format	PDF
ISBN	0780377133
DOI	10.1109/MMSP.2002.1203270
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning Artificial intelligence Laboratories Biology computing Design for quality Programmable logic arrays Spatial databases Audio databases Rails Digital audio players
Content Type	Text
Resource Type	Article

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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
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