Overview
- Provides lucid description of the theoretical concepts
- Discusses the use of soft computing and related tools to design intelligent systems for solving identified problems of speech processing
- Enables the learner to acquire range of knowledge of soft-computational approaches to speech recognition
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 550)
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Table of contents (10 chapters)
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Front Matter
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Design Aspects
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
Ms. Mousmita Sarma is currently working as Research Consultant at M/s. SpeecHWareNet Pvt. (I) Ltd., Technology Incubation Center, IIT Guwahati, Assam, India. She completed MSc in Electronics and Communication Technology from Gauhati University, India in 2010. She also completed M.Tech from the same institution in 2012 with specialization in Speech Processing and Recognition. She has co-authored one book and published several peer reviewed research papers in international conference proceedings and journals. She serves as reviewer to several journals and IEEE international and national conferences. Her areas of interest include Speech Recognition, soft-Computation and HCI Applications.
Dr. Kandarpa Kumar Sarma, currently Associate Professor in Department of Electronics and Communication Technology, Gauhati University, Guwahati, Assam, India, has over seventeen years of professional experience. He has covered all areas of UG/PG level electronics courses including soft computing, mobile communication, digital signal and image processing. He obtained M.Tech degree in Signal Processing from Indian Institute of Technology Guwahati in 2005 and subsequently completed PhD programme in the area of Soft-Computational Application in Mobile Communication. He has authored six books, several book chapters, around three hundred peer reviewed research papers in international conference proceedings and journals. His areas of interest are Soft-Computation and its Applications, Mobile Communication, Antenna Design, Speech Processing, Document Image Analysis and Signal Processing Applications in High Energy Physics, Neuro-computing and Computational Models for Social-Science Applications. He is senior member IEEE (USA), Fellow IETE (India), Member International Neural Network Society (INNS, USA), Life Member ISTE (India) and Life Member CSI (India). He serves as an Editor-in-Chief of International Journal of Intelligent System Design and Computing (IJISDC, UK), guesteditor of several international journals, reviewer of over thirty international journals and over hundred international conferences.
Bibliographic Information
Book Title: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
Authors: Mousmita Sarma, Kandarpa Kumar Sarma
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-81-322-1862-3
Publisher: Springer New Delhi
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer India 2014
Hardcover ISBN: 978-81-322-1861-6Published: 15 April 2014
Softcover ISBN: 978-81-322-3515-6Published: 03 September 2016
eBook ISBN: 978-81-322-1862-3Published: 04 April 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXI, 187
Number of Illustrations: 62 illustrations in colour
Topics: Computational Intelligence, Signal, Image and Speech Processing, Algorithm Analysis and Problem Complexity