Speech Recognition Using Articulatory and Excitation Source Features

• Κύριοι συγγραφείς: Rao, K. Sreenivasa (Συγγραφέας), K E, Manjunath (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.