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Record Nr. |
UNINA9910299469603321 |
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Autore |
Sarma Mousmita |
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Titolo |
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework [[electronic resource] /] / by Mousmita Sarma, Kandarpa Kumar Sarma |
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Pubbl/distr/stampa |
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New Delhi : , : Springer India : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XXI, 187 p. 62 illus.) |
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Collana |
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Studies in Computational Intelligence, , 1860-949X ; ; 550 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Signal processing |
Image processing |
Speech processing systems |
Algorithms |
Computational Intelligence |
Signal, Image and Speech Processing |
Algorithm Analysis and Problem Complexity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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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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Sommario/riassunto |
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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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