Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework [[electronic resource] /] / by Mousmita Sarma, Kandarpa Kumar Sarma

• Autore: Sarma Mousmita
• Pubblicazione: New Delhi : , : Springer India : , : Imprint : Springer, , 2014
• Edizione: 1st ed. 2014.
• Descrizione fisica: 1 online resource (XXI, 187 p. 62 illus.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Signal processing; Image processing; Speech processing systems; Algorithms; Computational Intelligence; Signal, Image and Speech Processing; Algorithm Analysis and Problem Complexity
• Persona (resp. second.): SarmaKandarpa Kumar
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
• ISBN: 81-322-1862-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299469603321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-949X ; ; 550