000 02467nam a22004695i 4500
001 978-81-322-1862-3
003 DE-He213
005 20170628040304.0
007 cr nn 008mamaa
008 140404s2014 ii | s |||| 0|eng d
020 _a9788132218623
_9978-81-322-1862-3
024 7 _a10.1007/978-81-322-1862-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aSarma, Mousmita.
_eauthor.
245 1 0 _aPhoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
_h[electronic resource] /
_cby Mousmita Sarma, Kandarpa Kumar Sarma.
264 1 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2014.
300 _aXXI, 187 p. 62 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v550
505 0 _aPart 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.
520 _aThe 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.
650 0 _aEngineering.
650 0 _aComputer software.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aSarma, Kandarpa Kumar.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788132218616
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v550
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-1862-3
912 _aZDB-2-ENG
999 _c28439
_d28439