Fundamentals of Speaker Recognition

Abstract

Preface.- Basic Theory.- Introduction.- Speaker and Vocal Tract Modeling.- Signal Processing and Feature Extraction Techniques.- Data Representation and Probability Distributions.- Information Theory.- Metrics and Distortion Measures {B}ayesian Learning and Gaussian Mixture Modeling.- Parameter Estimation and Learning.- Hidden Markov Modeling (HMM).- Support Vector Machines.- Neural Networks.- Advanced Theory.- Speaker Modeling.- Language Modeling and Dynamic Analysis.- Sub-Optimal Search.- Algorithms.- Practice.- Speaker Recognition.- Overall Design.- Representation of Results.- Extensions.- Language Detection.- Glossary.- Index.