Introduction

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

Speech Recognition Analysis

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.

Feature Exploration and Modeling

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.

Feature Combinations and System Enhancement

The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.