A Robust Feature Extraction Algorithm for Audio Fingerprinting

Authors:
Jianping Chen;Tiejun Huang
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190;Key Laboratory of Machine Perception(Ministry of Education), Peking University, Beijing, China 100871
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

In this paper, we present a new feature extraction algorithm which is referred to as weighted ASF (WASF) in a fingerprint system. The feature in our algorithm is extracted based on a MPEG-7 descriptor-Audio Spectrum Flatness (ASF) and Human Auditory System (HAS). It also applies several effective filters and another MPEG-7 descriptor: Audio Signature (AS). This algorithm is tested under several audio distortions: sampling rate change, noise addition, and speed-change and so on. For these distortions, the WASF algorithm can get discrimination more than 90%. The MFCC feature and another MPEG-7 descriptor-Audio spectrum Centroid (ASC) are also considered.