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Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

  • Mousmita Sarma
  • Kandarpa Kumar Sarma

Part of the Studies in Computational Intelligence book series (SCI, volume 550)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Background

    1. Front Matter
      Pages 1-1
    2. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 3-19
    3. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 21-45
    4. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 47-75
    5. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 77-93
    6. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 95-113
  3. Design Aspects

    1. Front Matter
      Pages 115-116
    2. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 117-135
    3. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 137-152
    4. Mousmita Sarma, Kandarpa Kumar Sarma
      Pages 183-184
  4. Back Matter
    Pages 185-187

About this book

Introduction

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.

Keywords

Artificial Neural Networks Discrete Wavelet Transform Intelligent Speech Processing Phoneme Segmentation Technique Phoneme-based Speech Probabilistic Neural Network Self Organizing Map

Authors and affiliations

  • Mousmita Sarma
    • 1
  • Kandarpa Kumar Sarma
    • 2
  1. 1.Department of Electronics and Communication EngineeringGauhati UniversityGuwahatiIndia
  2. 2.Department of Electronics and Communication TechnologyGauhati UniversityGuwahatiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-1862-3
  • Copyright Information Springer India 2014
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering
  • Print ISBN 978-81-322-1861-6
  • Online ISBN 978-81-322-1862-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site