Fundamentals of Speaker Recognition

ISBN-13: 9781489979223 / Angielski / Miękka / 2016 / 942 str.

Homayoon Beigi

Opis

Speaker Recognition is a popular new technology that can authenticate voices over the phone. This comprehensive text covers the basics and the latest developments of this technology and includes examples and exercises at the end of each chapter.

Recenzje

From the reviews:

"... there is no comprehensive overview of speaker recognition.

Aside from the absence of a complete overview of the technology there is a commercial need for a good reference. The reason is that the commercial market for speaker recognition is growing and a need to have scientists and technology developers who understand and can work with this technology.

It goes into far more technical depth than other publications - mostly because those other publications cover other topics as well.

It is a scholarly book that does not appear to be representing knowledge about the topic through the filter of a specific product or kind of application. That is very good for scientists and scholars. Consequently, it would be a good text book or technical reference."

Judith Markowitz (J. Markowitz Consultants, Chicago, Illinois, USA)

"In short, this publication would be a service to many researchers and practitioners of this science and technology. I do not know of any other book on the subject. I am much impressed with the depth and breadth that the subject is going to be treated as evidenced from its table of contents."

Fereydoun Maali, Ph.D. (ICx Vision Systems, Phoenix, Arizona, USA)

"This book is unique in several respects. It is the most exhaustive text on speaker recognition available. It is also truly self-contained. About a third of the text is devoted to the background information needed for understanding speaker recognition technology. ... this text sets the standard for speaker recognition textbooks. I recommend it both as an introduction to the subject and as a reference on speaker recognition techniques." (Vladimir Botchev, ACM Computing Reviews, January, 2013)

Spis treści

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 Bayesian Learning and Gaussian Mixture Modeling.- Parameter Estimation and Learning.- Hidden Markov Modeling (HMM).- Support Vector Machines.- Neural Networks.- Advanced Theory.- Speaker Modeling.- Algorithms.- Practice.- Speaker Recognition.- Overall Design.- Representation of Results.- Glossary.- Index.