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A new method of classification of a speaker’s gender based on cumulant coefficients is proposed. The effect of an additive noise and measurement error of classification signs on accuracy of classification is analyzed. The expediency of construction of an adaptive system of classification operating with considering of masking of a speech signal by noise is shown. Comparison of the proposed method of...
In this paper applying PCA algorithm in order to preprocess data in North whale detection problem was proposed. It is shown that reducing number of features obtained from a spectrogram can prevent overfitting and increase performance of the classifier. Proposed classifier was based on a tree layer Neural Network with 50, 100 and 400 input neurons. Proposed technique achieved an F1 score of 90%.
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