Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Detalles Bibliográficos
Autor Principal:	Sarma, Mousmita
Otros autores o Colaboradores:	Sarma, Kandarpa Kumar
Formato:	Libro
Lengua:	inglés
Datos de publicación:	New Delhi : Springer India : Imprint: Springer, 2014.
Series:	Studies in Computational Intelligence, 550
Temas:	Algorithms. Engineering. Computational Intelligence. Signal, Image and Speech Processing. Algorithm Analysis and Problem Complexity.
Acceso en línea:	http://dx.doi.org/10.1007/978-81-322-1862-3
Resumen:	The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
Descripción Física:	xxi, 187 p. : il.
ISBN:	9788132218623
ISSN:	1860-949X ;
DOI:	10.1007/978-81-322-1862-3

Tabla de Contenidos:

Part 1 (Background): Introduction
Speech Processing Technology-Basic Consideration
Fundamental Considerations of ANN
Sounds of Assamese Language
State of Research of Speech Recognition
Part 2 (Design Aspects): Phoneme Segmentation Technique using Self Organizing Map (SOM)
Application of Proposed Phoneme Segmentation Technique in Spoken Word Recognition
Application of Clustering Techniques to Generate A Priori Knowledge for Spoken Word Recognition
Application of Proposed Phoneme Segmentation Technique in Speaker Identification
Conclusion.

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Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

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