Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2016
Serie: Libro 78 de 538 - Studies in Computational Intelligence
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- Nuevo

Librería: preigu, Osnabrück, Alemaniapreigu
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Descripción del artículo del vendedor
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework | Mousmita Sarma (u. a.) | Taschenbuch | xxi | Englisch | 2016 | Springer | EAN 9788132235156 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 103418316
- Título
- Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
- Autor
- Mousmita Sarma (u. a.)
- Editorial
- Springer
- Año de publicación
- 2016
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 8132235150
- ISBN 13
- 9788132235156
- Peso del artículo
- 330 gramos
- Dimensiones
- 235 x 155 x 12 mm
- Serie
- Libro 78 de 538: Studies in Computational Intelligence
- Catálogos de vendedores
- Bücher
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.
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Acerca del autor
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.
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