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|a 9788132218623
|9 978-81-322-1862-3
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|a 10.1007/978-81-322-1862-3
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|a Sarma, Mousmita.
|e author.
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|4 http://id.loc.gov/vocabulary/relators/aut
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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 1st ed. 2014.
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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
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|a computer
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|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 Computational intelligence.
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|a Signal processing.
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|a Algorithms.
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|a Computational Intelligence.
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|a Signal, Speech and Image Processing .
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|a Algorithms.
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|a Sarma, Kandarpa Kumar.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9788132218630
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|z 9788132218616
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|i Printed edition:
|z 9788132235156
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 550
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|u https://doi.uam.elogim.com/10.1007/978-81-322-1862-3
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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