Speech Recognition Using Articulatory and Excitation Source Features

• Main Authors: Rao, K. Sreenivasa (Author), K E, Manjunath (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Engineering.; Computational linguistics.; Signal, Image and Speech Processing.; Language Translation and Linguistics.; Computational Linguistics.

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...

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.