English
Speaker Identication Based on Spectrogram and Local Binary Patterns
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2137k
资源说明：This paper presents a text-independent, closed-set speaker identification approach based on spectrogram
and dynamic time warping (DTW) algorithm. The preprocessed speech signals are divided into some
chunks, then calculated to get the magnitude of the frequency spectrum, which creates the spectrograms.
The local binary patterns (LBP) operator are used to obtain the LBP vectors being treated as the
speech features. The distances between each of the LBP vectors are measured by
and dynamic time warping (DTW) algorithm. The preprocessed speech signals are divided into some
chunks, then calculated to get the magnitude of the frequency spectrum, which creates the spectrograms.
The local binary patterns (LBP) operator are used to obtain the LBP vectors being treated as the
speech features. The distances between each of the LBP vectors are measured by
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