Speaker Identication Based on Spectrogram and Local Binary Patterns

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This paper presents a text-independent, closed-set speaker identification approach based on spectrogramand dynamic time warping (DTW) algorithm. The preprocessed speech signals are divided into somechunks, then calculated to get the magnitude of the frequency spectrum, which creates the spec
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