Music Identification System Using MPEG-7 Audio Signature Descriptors
Joint Authors
You, Shingchern D.
Chen, Wei-Hwa
Chen, Woei-Kae
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper describes a multiresolution system based on MPEG-7 audio signature descriptors for music identification.
Such an identification system may be used to detect illegally copied music circulated over the Internet.
In the proposed system, low-resolution descriptors are used to search likely candidates, and then full-resolution descriptors are used to identify the unknown (query) audio.
With this arrangement, the proposed system achieves both high speed and high accuracy.
To deal with the problem that a piece of query audio may not be inside the system’s database, we suggest two different methods to find the decision threshold.
Simulation results show that the proposed method II can achieve an accuracy of 99.4% for query inputs both inside and outside the database.
Overall, it is highly possible to use the proposed system for copyright control.
American Psychological Association (APA)
You, Shingchern D.& Chen, Wei-Hwa& Chen, Woei-Kae. 2013. Music Identification System Using MPEG-7 Audio Signature Descriptors. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033273
Modern Language Association (MLA)
You, Shingchern D.…[et al.]. Music Identification System Using MPEG-7 Audio Signature Descriptors. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1033273
American Medical Association (AMA)
You, Shingchern D.& Chen, Wei-Hwa& Chen, Woei-Kae. Music Identification System Using MPEG-7 Audio Signature Descriptors. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033273
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033273