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This paper presents the technique for feature extraction to classify speech and music audio data. The combination of image processing and signal processing is used to classify audio data. There are three main steps. First, the audio data is segments and transformed to spectrogram image and then apply image processing methods to find the salient characteristics on the spectrogram image. The next step...
This paper proposes an unsupervised discrimination analysis for feature selection based on a property of the Fourier transform of the probability density distribution. Each feature is evaluated on the basis of a simple observation motivated by the concept of optical diffraction, which is invariant under feature scaling. The time complexity is , where is number of features and is number of...
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