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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Queen Mary University of London : A - Electrical and Electronic engineering

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Article title

Challenging Uncertainty in Query by Humming Systems: A Fingerprinting Approach

Type

D - Journal article

DOI

10.1109/TASL.2007.912373

Title of journal

IEEE Transactions on Audio, Speech and Language Processing

Article number

Volume number

Issue number

First page of article

359

ISSN of journal

1558-7916

Year of publication

2008

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4432653

Number of additional authors

Additional information

User-centric music retrieval system matched hummed music queries to melodies in database. Developed large humming database (available at sail.usc.edu) to propose data-driven fingerprinting technique accounting for difficulty of singing different musical intervals. Output of highly competitive NSF Information Technology Research grant. Work led to chord based retrieval system, music royalty rights management proposal, and award of a TUBITAK (Science and Technology Research Council of Turkey) National Young Researchers Career Development Award.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract