Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework PDF ePub eBook

Books Info:

Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework free pdf 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.

About Mousmita Sarma

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), guest editor of several international journals, reviewer of over thirty international journals and over hundred international conferences.

Details Book

Author : Mousmita Sarma
Publisher : Springer, India, Private Ltd
Data Published : 04 April 2014
ISBN : 8132218612
EAN : 9788132218616
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 187 pages
Age + : 15 years
Language : English
Rating :

Reviews Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework



17 Comments Add a comment




Related eBooks Download


  • Hybrid Soft Computing Approaches free pdfHybrid Soft Computing Approaches

    The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular..


  • Soft Computing Applications free pdfSoft Computing Applications

    This volume contains the Proceedings of the 5thInternational Workshop on Soft Computing Applications (SOFA 2012). The book covers a broad spectrum of soft computing techniques. theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial..


  • Rough Sets, Fuzzy Sets and Soft Computing free pdfRough Sets, Fuzzy Sets and Soft Computing

    ROUGH SETS. FUZZY SETS AND SOFT COMPUTING discusses important new findings including soft computing and its applications on pollution model. medical diagnosis..


  • Soft Computing for Image and Multimedia Data Processing free pdfSoft Computing for Image and Multimedia Data Processing

    Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches. the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles..


  • Autonomic Computing  :  Principles, Design and Implementation free pdfAutonomic Computing : Principles, Design and Implementation

    Autonomic computing is changing the way software systems are being developed. introducing the goal of self-managed computing systems with minimal need for human input.

    This easy-to-follow. classroom-tested textbook/reference provides a practical perspective on autonomic computing..


  • Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework free pdfPhoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework

    . 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 versat