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Phoneme-Based Speech Segmen...

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Sarma, Mousmita. aut. http://id.loc.gov/vocabulary/relators/aut

Springer India 2014

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

Monografía

monografia Rebiun36348668 https://catalogo.rebiun.org/rebiun/record/Rebiun36348668 m o d | cr nn 008mamaa 140404s2014 ii s 00 0 eng d 9788132218623 9788132218630 9788132218616 9788132235156 10.1007/978-81-322-1862-3 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Sarma, Mousmita. aut. http://id.loc.gov/vocabulary/relators/aut Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework Recurso electrónico] by Mousmita Sarma, Kandarpa Kumar Sarma New Delhi Springer India 2014 New Delhi New Delhi Springer India New Delhi Springer India Imprint: Springer 2014 New Delhi New Delhi Springer India Imprint: Springer XXI, 187 p. 62 il XXI, 187 p. 62 il Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 550 Bibliographic Level Mode of Issuance: Monograph 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 English Engineering Computer software Computational Intelligence. Signal, Image and Speech Processing. Algorithm Analysis and Problem Complexity. Engineering Computer software Computational Intelligence Signal, Image and Speech Processing Algorithm Analysis and Problem Complexity Sarma, Kandarpa Kumar 81-322-1861-2 Studies in Computational Intelligence 550

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monografia Rebiun36348668 https://catalogo.rebiun.org/rebiun/record/Rebiun36348668 m o d | cr nn 008mamaa 140404s2014 ii s 00 0 eng d 9788132218623 9788132218630 9788132218616 9788132235156 10.1007/978-81-322-1862-3 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Sarma, Mousmita. aut. http://id.loc.gov/vocabulary/relators/aut Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework Recurso electrónico] by Mousmita Sarma, Kandarpa Kumar Sarma New Delhi Springer India 2014 New Delhi New Delhi Springer India New Delhi Springer India Imprint: Springer 2014 New Delhi New Delhi Springer India Imprint: Springer XXI, 187 p. 62 il XXI, 187 p. 62 il Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 550 Bibliographic Level Mode of Issuance: Monograph 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 English Engineering Computer software Computational Intelligence. Signal, Image and Speech Processing. Algorithm Analysis and Problem Complexity. Engineering Computer software Computational Intelligence Signal, Image and Speech Processing Algorithm Analysis and Problem Complexity Sarma, Kandarpa Kumar 81-322-1861-2 Studies in Computational Intelligence 550