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Fuelled by the digital revolution, efficient data reduction schemes and the break-through of the Internet, an ever-increasing amount of audio material has become available in digital format recently. Efficient handling and possibility of identification for these items are becoming extremely important to manage such amounts of content. This paper describes a prototype system for a content-based identification system of audio material based on a database of registered works. The technical approach is outlined and the system`s current performance and the range of possible applications are discussed.
Author (s): Cremer, Markus; Froba, Bernhard; Hellmuth, Oliver; Herre, Jurgen; Allamanche, Eric
Affiliation:
Fraunhofer Institute for Integrated Circuits IIS-A, Erlangen, Germany ; Fraunhofer Institute for Integrated Circuits AEMT, Ilmenau, Germany
(See document for exact affiliation information.)
AES Convention: 110
Paper Number:5380
Publication Date:
2001-05-06
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Session subject:
Signal Processing for Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=10019
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Cremer, Markus; Froba, Bernhard; Hellmuth, Oliver; Herre, Jurgen; Allamanche, Eric; 2001; AudioID: Towards Content-Based Identification of Audio Material [PDF]; Fraunhofer Institute for Integrated Circuits IIS-A, Erlangen, Germany ; Fraunhofer Institute for Integrated Circuits AEMT, Ilmenau, Germany; Paper 5380; Available from: https://aes2.org/publications/elibrary-page/?id=10019
Cremer, Markus; Froba, Bernhard; Hellmuth, Oliver; Herre, Jurgen; Allamanche, Eric; AudioID: Towards Content-Based Identification of Audio Material [PDF]; Fraunhofer Institute for Integrated Circuits IIS-A, Erlangen, Germany ; Fraunhofer Institute for Integrated Circuits AEMT, Ilmenau, Germany; Paper 5380; 2001 Available: https://aes2.org/publications/elibrary-page/?id=10019
@article{cremer2001audioid:,
author={cremer markus and froba bernhard and hellmuth oliver and herre jurgen and allamanche eric},
journal={journal of the audio engineering society},
title={audioid: towards content-based identification of audio material},
year={2001},
number={5380},
month={may},}