Speech Recognition Using Articulatory and Excitation Source Features

This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performa...

Full description

Bibliographic Details
Main Authors: Rao, K. Sreenivasa (Author), K E, Manjunath (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Subjects:
Signal processing.
Natural language processing (Computer science).
Computational linguistics.
Signal, Speech and Image Processing.
Natural Language Processing (NLP).
Computational Linguistics.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Literature Review
  • Articulatory Features for Phone Recognition
  • Excitation Source Features for Phone Recognition
  • Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes
  • Conclusion
  • Appendix A: MFCC Features
  • Appendix B: Pattern Recognition Models.

Similar Items