Detection and classification of audio events in noisy environment.

Autor:	Vozáriková, Eva, Pleva, Matúš, Vavrek, Jozef, Ondáš, Stanislav, Juhár, Jozef, Čižmár, Anton
Předmět:	HIDDEN Markov models MARKOV processes SUPPORT vector machines ALGORITHMS SUPERVISED learning ELECTROMAGNETIC noise COMPUTER programming MACHINE learning COMPUTATIONAL learning theory
Zdroj:	Journal of Computer Science & Control Systems; 2010, Vol. 3 Issue 1, p253-256, 4p, 1 Color Photograph, 4 Charts, 1 Graph
Abstrakt:	In this paper we focused on two popular classification approaches which are widely used for audio events recognition systems. One approach is using the Hidden Markov Models and the second approach is based on the technique of the Support Vector Machines. In this work we distinguish the robustness of systems based on the SVM and HMM classifier and we try to clarify an influence of noise to the proposed systems. [ABSTRACT FROM AUTHOR]
Databáze:	Supplemental Index
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