Open AccessRobust Audio Fingerprinting Method Using Prominent Peak Pair Based on Modulated Complex Lapped Transform
Author(s) -
Kim HyoungGook,
Kim Jin Young
Publication year - 2014
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.14.0113.1405
Subject(s) - robustness (evolution) , fingerprint (computing) , computer science , salient , audio signal , fingerprint recognition , speech recognition , artificial intelligence , audio signal processing , noise (video) , computer vision , pattern recognition (psychology) , speech coding , image (mathematics) , biochemistry , chemistry , gene
The robustness of an audio fingerprinting system in an actual noisy environment is a major challenge for audio‐based content identification. This paper proposes a high‐performance audio fingerprint extraction method for use in portable consumer devices. In the proposed method, a salient audio peak‐pair fingerprint, based on a modulated complex lapped transform, improves the accuracy of the audio fingerprinting system in actual noisy environments with low computational complexity. Experimental results confirm that the proposed method is quite robust in different noise conditions and achieves promising preliminary accuracy results.