Paper
26 November 2003 Audio fingerprint extraction for content identification
Author Affiliations +
Abstract
In this work, we present an audio content identification system that identifies some unknown audio material by comparing its fingerprint with those extracted off-line and saved in the music database. We will describe in detail the procedure to extract audio fingerprints and demonstrate that they are robust to noise and content-preserving manipulations. The main feature in the proposed system is the zero-crossing rate extracted with the octave-band filter bank. The zero-crossing rate can be used to describe the dominant frequency in each subband with a very low computational cost. The size of audio fingerprint is small and can be efficiently stored along with the compressed files in the database. It is also robust to many modifications such as tempo change and time-alignment distortion. Besides, the octave-band filter bank is used to enhance the robustness to distortion, especially those localized on some frequency regions.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Shiu, Chia-Hung Yeh, and C. C. Jay Kuo "Audio fingerprint extraction for content identification", Proc. SPIE 5242, Internet Multimedia Management Systems IV, (26 November 2003); https://doi.org/10.1117/12.511271
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Distortion

Databases

System identification

Feature extraction

Internet

Signal processing

Bandpass filters

RELATED CONTENT


Back to Top