Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework by Mousmita Sarma, Kandarpa Kumar Sarma.

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.

Saved in:
Bibliographic Details
Main Authors: Sarma, Mousmita (Author), Sarma, Kandarpa Kumar (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New Delhi : Springer India : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Computational Intelligence, 550
Springer eBook Collection.
Subjects:
Computational intelligence.
Signal processing.
Image processing.
Speech processing systems.
Algorithms.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Part 1 (Background): Introduction
  • Speech Processing Technology-Basic Consideration
  • Fundamental Considerations of ANN
  • Sounds of Assamese Language
  • State of Research of Speech Recognition
  • Part 2 (Design Aspects): Phoneme Segmentation Technique using Self Organizing Map (SOM)
  • Application of Proposed Phoneme Segmentation Technique in Spoken Word Recognition
  • Application of Clustering Techniques to Generate A Priori Knowledge for Spoken Word Recognition
  • Application of Proposed Phoneme Segmentation Technique in Speaker Identification
  • Conclusion.

Similar Items