By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wooram Son ; Interdiscipl. Program in Radiat. Appl. Life Sci., Seoul Nat. Univ., Seoul, South Korea ; Hyun-Tae Cho ; Kyoungro Yoon ; Seok-pil Lee

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.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:56 ,  Issue: 1 )