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In this paper, an adaptive speaker identification method combined with the human behavioral trait based on Gaussian mixture model (GMM) is constructed. The method can automatically select different length of speech for different speakers in identification process according to the feedback probability estimation, so it can guarantee identification accuracy without reducing, and to reduce the identification...
With ICA to realize the blind separation from mixed acoustic targets, an identification method based on SVM is proposed through extracting LPC feature. SVM is employed to compute the output score and k-means algorithm is used as cluster LPC coefficients. Finally targets are identified by hybrid model. Simulation indicates that this method is effective in mixed acoustic targets identification system
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