Yazar "Edizkan, Rıfat" için listeleme
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The common vector approach and its comparison with other subspace methods in case of sufficient data
Gülmezoğlu, M. Bilginer; Dzhafarov, Vakif; Edizkan, Rıfat; Barkana, Atalay (Academic Press LTD- Elsevier Science LTD, 2007)This paper presents an application of the common vector approach (CVA), an approach mainly used for speech recognition problems when the number of data items exceeds the dimension of the feature vectors. The calculation ... -
Endpoint detection of isolated words using center of gravity method [Agirlik merkezi yöntemini kullanarak yalitik kelimelerin uç noktalarinin belirlenmesi]
In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ... -
Improvements on isolated word recognition using FLDA [FLDA kullanarak ayrik kelime tanimada yapilan iyileştirmeler]
The purpose of this study is to increase the recognition rates of the isolated word using improved Fisher's Linear Discriminant Analysis (FLDA). Therefore, at first, unique subspace for each class is constructed by defining ... -
The search for optimal feature set in power quality event classification
Günal, Serkan; Gerek, Ömer Nezih; Ece, Doğan Gökhan; Edizkan, Rıfat (Pergamon-Elsevier Science LTD, 2009)The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large ... -
Subspace based feature selection for pattern recognition
Günal, Serkan; Edizkan, Rıfat (Elsevier Science Inc, 2008)Feature selection is an essential topic in the field of pattern recognition. The feature selection strategy has a direct influence on the accuracy and processing time of pattern recognition applications. Features can be ... -
Use of center of gravity with the common vector approach in isolated word recognition
Gülmezoğlu, M. Bilginer; Edizkan, Rıfat; Ergin, Semih; Barkana, Atalay (Pergamon-Elsevier Science LTD, 2011)In this paper, the subspace based classifier, common vector approach (CVA), with the center of gravity (COG) method is used for isolated word recognition. Since the CVA classifier is sensitive to shifts through the time ... -
Use of novel feature extraction technique with subspace classifiers for speech recognition
Günal, Serkan; Edizkan, Rıfat (IEEE, 2007)Speech recognition is one of the fast moving research areas in pervasive services requiring human interaction. Like any type of pattern recognition system, selection of the feature extraction method and the classifier play ...
