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02523nam a22004815i 4500 |
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978-81-322-1862-3 |
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DE-He213 |
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20151030091618.0 |
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140404s2014 ii | s |||| 0|eng d |
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|a 9788132218623
|9 978-81-322-1862-3
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|a 10.1007/978-81-322-1862-3
|2 doi
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|a Sarma, Mousmita.
|e author.
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|a Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
|h [electronic resource] /
|c by Mousmita Sarma, Kandarpa Kumar Sarma.
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|a New Delhi :
|b Springer India :
|b Imprint: Springer,
|c 2014.
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|a XXI, 187 p. 62 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 550
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|a 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.
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|a 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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|a Engineering.
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|a Algorithms.
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|a Computational intelligence.
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|a Engineering.
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|a Computational Intelligence.
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|a Signal, Image and Speech Processing.
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|a Algorithm Analysis and Problem Complexity.
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|a Sarma, Kandarpa Kumar.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9788132218616
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 550
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|u http://dx.doi.org/10.1007/978-81-322-1862-3
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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