文件名称:Speech Processing Analysis - MATLAB
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The number of states in GMM as the generative model of the fr a mes is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC fr a mes collected from
three speech segments are subjected to PCA for dimensionality reduction and are
subjected to k-means algorithm. The total number of fr a mes is equal to the total
number of vectors that are subjected to k-means clustering.
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC fr a mes collected from
three speech segments are subjected to PCA for dimensionality reduction and are
subjected to k-means algorithm. The total number of fr a mes is equal to the total
number of vectors that are subjected to k-means clustering.
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Speech Processing Analysis - MATLAB.pdf