Phoneme-based speech segmentation using hybrid soft computing framework [electronic resource] / Mousmita Sarma, Kandarpa Kumar Sarma.
Sarma, Mousmita, author.; Sarma, Kandarpa Kumar, author.
2014
TK7882.S65
Available Online

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Title Phoneme-based speech segmentation using hybrid soft computing framework [electronic resource] / Mousmita Sarma, Kandarpa Kumar Sarma.
Author Sarma, Mousmita, author.
ISBN 9788132218623 electronic book
8132218620 electronic book
9788132218616
DOI https://doi.org/10.1007/978-81-322-1862-3
Published New Delhi : Springer, 2014.
Language English
Description 1 online resource (xxi, 187 pages) : illustrations.
Item Number 10.1007/978-81-322-1862-3 doi
Call Number TK7882.S65
Dewey Decimal Classification 006.4/54
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed April 7, 2014).
Added Author Sarma, Kandarpa Kumar, author.
Series Studies in computational intelligence ; v.550. 1860-949X
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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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