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Sub-fingerprint masking for a robust audio fingerprinting system in a real-noise environment for portable consumer devices

Cited 13 time in Web of Science Cited 16 time in Scopus
Authors
Son, Wooram; Cho, Hyun-Tae; Lee, Seok-Pil
Issue Date
2010-02
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
IEEE Transactions on Consumer Electronics, Vol. 56, No. 1, pp. 156-160
Keywords
Audio retrievalAudio fingerprintNoisy environment
Description
author's final draft
Abstract
The robustness of audio fingerprinting system in a noisy environment is a principal challenge in the area of content-based music retrieval, especially for use in portable consumer devices. Our new audio fingerprint method using sub-fingerprint masking based on the predominant pitch extraction dramatically increases the accuracy of the audio fingerprinting system in a noisy environment, while requiring much less computing power for matching, compared to the expanded hash table lookup method, where the searching complexity increases by the factor of 33 times the degree of expansion.
ISSN
0098-3063
Language
English
URI
http://hdl.handle.net/10371/75255
DOI
https://doi.org/10.1109/TCE.2010.5439139
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College of Medicine/School of Medicine (의과대학/대학원)Dept. of Radiation Applied Life Science (대학원 협동과정 방사선응용생명과학전공)Journal Papers (저널논문_방사선응용생명과학전공)
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