A novel audio fingerprinting method robust to time scale modification and pitch shifting

Authors:
Bilei Zhu;Wei Li;Zhurong Wang;Xiangyang Xue
Affiliations:
Fudan University, Shanghai, China;Fudan University, Shanghai, China;Fudan University, Shanghai, China;Fudan University, Shanghai, China
Venue:
Proceedings of the international conference on Multimedia
Year:
2010

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Abstract

A novel audio fingerprinting method that is highly robust to Time Scale Modification (TSM) and pitch shifting is proposed. Instead of simply employing spectral or tempo-related features, our system is based on computer-vision techniques. We transform each 1-D audio signal into a 2-D image and treat TSM and pitch shifting of the audio signal as stretch and translation of the corresponding image. Robust local descriptors are extracted from the image and matched against those of the reference audio signals. Experimental results show that our system is highly robust to various audio distortions, including the challenging TSM and pitch shifting.