Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

✍ Scribed by Mousmita Sarma, Kandarpa Kumar Sarma (auth.)

Publisher: Springer India
Year: 2014
Tongue: English
Leaves: 199
Series: Studies in Computational Intelligence 550
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Introduction....Pages 3-19
Speech Processing Technology: Basic Consideration....Pages 21-45
Fundamental Considerations of ANN....Pages 47-75
Sounds of Assamese Language....Pages 77-93
State of Research of Speech Recognition....Pages 95-113
Front Matter....Pages 115-116
Phoneme Segmentation Technique Using Self-Organizing Map (SOM)....Pages 117-135
Application of Phoneme Segmentation Technique in Spoken Word Recognition....Pages 137-152
Application of Clustering Techniques to Generate a Priori Knowledge for Spoken Word Recognition....Pages 153-162
Application of Proposed Phoneme Segmentation Technique for Speaker Identification....Pages 163-182
Conclusion....Pages 183-184
Back Matter....Pages 185-187

✦ Subjects

Computational Intelligence; Signal, Image and Speech Processing; Algorithm Analysis and Problem Complexity

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