Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sarma, Mousmita (Συγγραφέας), Sarma, Kandarpa Kumar (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New Delhi : Springer India : Imprint: Springer, 2014.
Σειρά:Studies in Computational Intelligence, 550
Θέματα:
Engineering.
Algorithms.
Computational intelligence.
Computational Intelligence.
Signal, Image and Speech Processing.
Algorithm Analysis and Problem Complexity.
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.

Παρόμοια τεκμήρια