About this book
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) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.
Speech Recognition Using Excitation Source Features Speech Recognition Using Articulatory Features Speech Recognition Using System and Source Features Phone Recognition Using Excitation Source Features Phone Recognition Using Articulatory Features Phone Recognition Using System and Source Features Read, Extempore and Conversation Modes of Speech RMFCC and MPDSS features for Speech Recognition Combination of Articulatory & Source Features for Speech Recog. Hybrid Model For Speech Recognition
The Author(s) 2017
Series Print ISSN
Series Online ISSN
Buy this book on publisher's site