Gunes Ekim

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EEG is a test method that contains important information about brain activity and it is frequently used in the diagnosis and treatment of brain diseases. In this study, the EEG dataset from the University of Bonn, Department of Epileptology Database was used. First, spectral analysis of EEG records was performed with discrete wavelet transform. Then, these(More)
In this study, EEG records taken from healthy people with eyes open and eyes closed, EEG records taken from epileptic patients at the time of seizure and out of seizure were classified using Naive Bayes, K-Nearest Neighbor and Artificial Neural Networks methods. Feature vectors are obtained by using Daubechies wavelet transforms with different degrees and(More)
The aim of this study is to devolop a complete speaker independent Turkish syllable recognition system. This system will be separated voiced or unvoiced letters for the input syllable, thus the input syllable will be recognized from the recognizing of each voiced or unvoiced letters. Linear Predictive Coding, Fast Fourier Transform and Welch Averaging(More)
In this paper, we studied a speaker independent isolated speaker recognition system for Turkish language by using cross correlation technique. The power spectrumpsilas of each keyword speech for different speakerpsilas determined using the linear predictive coding in order to constitute a feature vectors database that consists these spectrums. A new test(More)
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