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Speech classification using SIFT features on spectrogram images
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In this paper, we propose an approach for speech classification using Scale-invariant Feature Transform (SIFT) features on spectrogram images of speech signal combination with Local naïve Bayes nearest neighbor. The proposed approach allows using feature vectors to have different sizes. | Speech classification using SIFT features on spectrogram images