9786200475398 - Segmentation and classification algorithms for speech recognition de Kalamani, M.; Krishnamoorthi, M. (4 resultados)

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents the Segmentation and Classification algorithms for Speech Recognition. Recently, an efficient segmentation and classification algorithms are required for speech recognition. In this book, the hybrid segmentation based on short time energy and spectral centroid is implemented along with KNN and ELM classifiers. The hybrid speech segmentation method with classifier increases the accuracy rate and decreases the error rate. This reduces the memory requirement and computational time in any speech recognition system. 52 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kalamani M.Dr.M.Kalamani, Associate Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam. Dr.M.Krishnamoorthi, Associate Professor, Department of CSE, Dr.N.G.P Institute of Technology, CoimbatoreThe.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book presents the Segmentation and Classification algorithms for Speech Recognition. Recently, an efficient segmentation and classification algorithms are required for speech recognition. In this book, the hybrid segmentation based on short time energy and spectral centroid is implemented along with KNN and ELM classifiers. The hybrid speech segmentation method with classifier increases the accuracy rate and decreases the error rate. This reduces the memory requirement and computational time in any speech recognition system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book presents the Segmentation and Classification algorithms for Speech Recognition. Recently, an efficient segmentation and classification algorithms are required for speech recognition. In this book, the hybrid segmentation based on short time energy and spectral centroid is implemented along with KNN and ELM classifiers. The hybrid speech segmentation method with classifier increases the accuracy rate and decreases the error rate. This reduces the memory requirement and computational time in any speech recognition system.