Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Sarma, Mousmita.

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework [electronic resource] / by Mousmita Sarma, Kandarpa Kumar Sarma. - XXI, 187 p. 62 illus. online resource. - Studies in Computational Intelligence, 550 1860-949X ; . - Studies in Computational Intelligence, 550 .

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.

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.

9788132218623

10.1007/978-81-322-1862-3 doi


Engineering.
Computer software.
Engineering.
Computational Intelligence.
Signal, Image and Speech Processing.
Algorithm Analysis and Problem Complexity.

Q342

006.3

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