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Fast Search Method for Audio Fingerprinting Systems Based on Query Multiplexing
Author(s) -
Xiao Qingmei,
Daito Yusaku,
Matsumoto Kazuyuki,
Suzuki Motoyuki,
Kita Kenji
Publication year - 2014
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11561
Subject(s) - computer science , hamming space , distortion (music) , noise (video) , music information retrieval , representation (politics) , audio signal , information retrieval , speech recognition , hamming code , artificial intelligence , speech coding , algorithm , bandwidth (computing) , telecommunications , decoding methods , art , amplifier , musical , visual arts , politics , political science , law , image (mathematics) , block code
SUMMARY In music information retrieval, a huge search space has to be explored because a query audio clip can start at any position of any music in the database, and also a query is often corrupted by highly significant noise and distortion. Audio fingerprints have attracted much attention recently for providing compact representation of the perceptually relevant parts of audio signals. In this paper, we propose an extremely fast method of exploring a huge Hamming space for audio fingerprinting systems. The effectiveness of our method has been evaluated by experiments using databases of 8740 real songs and 800 artificially corrupted and 268 real queries.