Music Identification System Using MPEG-7 Audio Signature Descriptors

Joint Authors

You, Shingchern D.
Chen, Wei-Hwa
Chen, Woei-Kae

Source

The Scientific World Journal

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