Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

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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Detalles Bibliográficos
Autor principal: Sarma, Mousmita
Otros Autores: Sarma, Kandarpa Kumar
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: New Delhi : Springer India : Imprint: Springer, 2014.
Colección:Studies in Computational Intelligence, 550
Materias:
Algorithms.
Engineering.
Computational Intelligence.
Signal, Image and Speech Processing.
Algorithm Analysis and Problem Complexity.
Acceso en línea:http://dx.doi.org/10.1007/978-81-322-1862-3
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
Tabla de Contenidos:
  • 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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