DocumentCode :
2900008
Title :
Applying neural network on the content-based audio classification
Author :
Shao, Xi ; Changsheng Xu ; Kankanhalli, Mohan S.
Author_Institution :
Institute for Infocomm Res., Singapore, Singapore
Volume :
3
fYear :
2003
fDate :
15-18 Dec. 2003
Firstpage :
1821
Abstract :
Many audio and multimedia applications would benefit if they could interpret the content of audio rather than relying on descriptions or keywords. These applications include multimedia databases and file systems, digital libraries, automatic segmentation or indexing of video (e.g., news or sports storage), and surveillance. This paper describes a novel content-based audio classification approach based on neural network and genetic algorithm. Experiments show this approach achieves a good performance of the classification.
Keywords :
audio signal processing; genetic algorithms; multimedia databases; neural nets; signal classification; automatic segmentation; content-based audio classification; digital libraries; file systems; genetic algorithm; multimedia databases; neural network; surveillance; video indexing; Audio recording; Bandwidth; Brightness; Genetic algorithms; Multimedia databases; Multiple signal classification; Music information retrieval; Neural networks; Robustness; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
Type :
conf
DOI :
10.1109/ICICS.2003.1292781
Filename :
1292781
Link To Document :
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