12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Robust Audio Fingerprinting Based on Local Spectral Luminance Maxima Scheme

Yong-zhe Shi, Wei-Qiang Zhang, Jia Liu

Tsinghua University, China

This paper proposes a robust audio fingerprinting system based on local spectral luminance maxima (LSLM) scheme using image processing approaches. Our approach treats spectrogram of an audio clip as a 2-D image and extracts the local luminance maxima of spectrum image as the discriminative characteristics. LSLM are selected due to resilience against quantization, compression, and noise addition, etc. Experimental results show that the proposed binary audio fingerprints outperform some of the state-of-the-art in the context of both robustness and reliability, especially in the noisy environment.

Full Paper

Bibliographic reference.  Shi, Yong-zhe / Zhang, Wei-Qiang / Liu, Jia (2011): "Robust audio fingerprinting based on local spectral luminance maxima scheme", In INTERSPEECH-2011, 2485-2488.