Robust Audio Fingerprinting Method Using Prominent Peak Pair Based on Modulated Complex Lapped Transform |
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Authors: | Hyoung‐Gook Kim Jin Young Kim |
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Affiliation: | 1. Hyoung‐Gook Kim (corresponding author, hkim@kw.ac.kr) is with the Department of Wireless Communication Engineering, Kwangwoon University, Seoul, Rep. of Korea.;2. Jin Young Kim (beyondi@jnu.ac.kr) is with the Department of Electronic and Computer Engineering, Chonnam National University, Gwangju, Rep. of Korea. |
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Abstract: | 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. |
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Keywords: | Audio fingerprinting modulated complex lapped transform content identification robust matching |
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