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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sarma, Mousmita (Autor), Sarma, Kandarpa Kumar (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Delhi : Springer India : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Studies in Computational Intelligence, 550
Temas:
Computational intelligence.
Signal processing.
Algorithms.
Computational Intelligence.
Signal, Speech and Image Processing .
Acceso en línea:Texto Completo
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.

Ejemplares similares