Audio fingerprinting based on normalized spectral subband moments

Author

Seo, Jin S. ; Jin, Minho ; Lee, Sunil ; Jang, Dalwon ; Lee, Seungjae ; Yoo, Chang D.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

Volume

13

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

209

Lastpage

212

Abstract

The performance of a fingerprinting system, which is often measured in terms of reliability and robustness, is directly related to the features that the system uses. In this letter, we present a new audio-fingerprinting method based on the normalized spectral subband moments. A threshold used to reliably determine a fingerprint match is obtained by modeling the features as a stationary process. The robustness of the normalized moments was evaluated experimentally and compared with that of the spectral flatness measure. Among the considered subband features, the first-order normalized moment showed the best performance for fingerprinting.

Keywords

audio signal processing; fingerprint identification; image matching; audio fingerprinting system; fingerprint matching; normalized spectral subband moment; reliability; stationary process; Associate members; Audio databases; Cepstral analysis; Degradation; Digital multimedia broadcasting; Fingerprint recognition; Information technology; Robustness; Spatial databases; Speech recognition; Content identification; fingerprinting; robust hashing; robust matching; spectral subband moment;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.863678

Filename

1605240