Comparison of feature selection algorithms for acoustic event detection system

Author

Kiktova, Eva ; Lojka, Martin ; Juhar, Jozef ; Cizmar, Anton

Author_Institution

Dept. of Electron. & Multimedia Commun., Tech. Univ. of Kosice, Kosice, Slovakia

fYear

2014

fDate

10-12 Sept. 2014

Firstpage

1

Lastpage

4

Abstract

This paper brings the comparison of mutual information based selection algorithms for the acoustic event detection system (EAR TUKE). High dimensional feature vectors were reduced according to the different selection criteria. Proposed features were used to train Hidden Markov Models (HMM), which were evaluated by the Viterbi based decoding algorithm. The comparison of applied selection criteria, their corresponding performances and the identification of convenient features were demonstrated via representative experimental results.

Keywords

Viterbi decoding; audio signal processing; feature selection; hidden Markov models; object detection; EAR TUKE; HMM; Viterbi based decoding algorithm; acoustic event detection system; feature identification; feature performances; feature selection algorithm comparison; hidden Markov models; high dimensional feature vectors; mutual information; representative experimental results; Acoustic measurements; Event detection; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Mutual information; Acoustic event detection; Feature selection; Mutual information;

fLanguage

English

Publisher

ieee

Conference_Titel

ELMAR (ELMAR), 2014 56th International Symposium

Conference_Location

Zadar

Type

conf

DOI

10.1109/ELMAR.2014.6923312

Filename

6923312