Improve the Speech Clustering Results by MVS-Mean Shift

Clustering methods follows the unsupervised approach; today speech utterances or audio data are available with unlabeled information. Such cases it is required to analyze the data with the help of characteristics or parameters of speech utterances. Gaussian mixture model (GMM) derives the such parameters effectively. All these techniques are well-explained in this book for performing of speech analysis or efficient speech clustering results.