Music Identification System Using MPEG-7 Audio Signature Descriptors

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 ca...

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Main Authors: Shingchern D. You, Wei-Hwa Chen, Woei-Kae Chen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/752464
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author Shingchern D. You
Wei-Hwa Chen
Woei-Kae Chen
author_facet Shingchern D. You
Wei-Hwa Chen
Woei-Kae Chen
author_sort Shingchern D. You
collection DOAJ
description 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.
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institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-2c9c146e77b54d92bbafa3f2f2cc64ff2025-08-20T03:55:00ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/752464752464Music Identification System Using MPEG-7 Audio Signature DescriptorsShingchern D. You0Wei-Hwa Chen1Woei-Kae Chen2Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 104, TaiwanHon-Hai Precision Industry Co. Ltd, Tucheng District, New Taipei City 236, TaiwanDepartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 104, TaiwanThis 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.http://dx.doi.org/10.1155/2013/752464
spellingShingle Shingchern D. You
Wei-Hwa Chen
Woei-Kae Chen
Music Identification System Using MPEG-7 Audio Signature Descriptors
The Scientific World Journal
title Music Identification System Using MPEG-7 Audio Signature Descriptors
title_full Music Identification System Using MPEG-7 Audio Signature Descriptors
title_fullStr Music Identification System Using MPEG-7 Audio Signature Descriptors
title_full_unstemmed Music Identification System Using MPEG-7 Audio Signature Descriptors
title_short Music Identification System Using MPEG-7 Audio Signature Descriptors
title_sort music identification system using mpeg 7 audio signature descriptors
url http://dx.doi.org/10.1155/2013/752464
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