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Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment Mansoo PARK Hoi-Rin KIM Yong Man RO Munchurl KIM Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.7 pp.2324-2327 Publication Date: 2006/07/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.7.2324 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Music Information Processing Keyword: music information retrieval, content-based audio identification, audio fingerprint, frequency filtering, Full Text: PDF(406.9KB)>>
Summary: The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification. | ||||||||||
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