Beschreibung
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.
Autorenporträt
Dr. K. Rajendra Prasad is working as Professor at IARE, Hyd., India. He completed his B.Tech and M.Tech in CSE. He received Ph.D in CSE from JNTUA. His research interests are data mining and speech processing. - M. Suleman Basha is working as Assistant Professor at RGMCET, Nandyal, India. He received his B.Tech and M.Tech from JNTUH, Hyd., India.
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