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Fundamentals of Speaker Recognition
Download Fundamentals of Speaker Recognition
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Review
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)
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Product details
Hardcover: 942 pages
Publisher: Springer; 2011 edition (December 8, 2011)
Language: English
ISBN-10: 9780387775913
ISBN-13: 978-0387775913
ASIN: 0387775919
Product Dimensions:
6.1 x 2.1 x 9.2 inches
Shipping Weight: 3.4 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
7 customer reviews
Amazon Best Sellers Rank:
#1,756,264 in Books (See Top 100 in Books)
Excellent publication as a reference
Book that has to many irrelevant chapters and many missing important issues.
Although this book originally aims the field of Speaker Recognition, I found it equally valuable as an introduction to Speech Recognition, given the numerous techniques common to the two disciplines.The presentation is encyclopedic and clear, thoroughly integrating all the areas involved in speaker recognition, such as physiology and phonology, signal processing and sampling, feature extraction, machine learning, probability and stochastic processes, information theory, etc.This comprehensive multi-disciplinary approach is a testimony to the author's extraordinary record in industry and academia: builder of recognition systems at IBM, teacher at Columbia U, as well as founder of a biometrics company. This unique perspective might also explain why other books seem to present a narrower vision, when compared to Beigi's.In my case, it took me several months to go through the profusion of concepts and ramifications that this book covers and develops, nevertheless a definitely rewarding learning experience! As others have commented, the detailed lists of references at the end of each chapter are a treasure in itself.The "Fundamentals" in the title can be misleading. The book consists of three main sections: Basic Theory (covering the fundamental topics of feature extraction, physiology, machine learning, etc), Advanced Theory (discussing the central issues of speaker modeling/recognition/segmentation, etc), and Practice (evaluation/verification of the system, overall design, etc.). The experienced readers could start at the second section. There's finally a fourth section introducing the background concepts (linear algebra, Fourier and Z transforms, optimization, etc).I strongly recommend this book to anyone interested in biometrics or speech/speaker recognition. I would also recommend to the publisher to market the book to both speaker and speech recognition audiences. Finally, I commend Amazon for the recent price drop - academic publishers have yet to realize that friendlier prices mean larger audiences.
This is the first scientifically written textbook on the subject of Speaker Recognition. I had the pleasure of reviewing several chapters of the draft version and what struck me most was the depth and comprehensive manner in which the subject is treated. More than 800 references have been consulted and cited by the author, who spent 4 years working on this book. The textbook is self-contained: several chapters at the end of the book are dedicated to the background mathematics (such as linear algebra, integral transforms and non-linear optimization techniques).The subject matter (speaker recognition) has many applications that may not be obvious at first glance. The author lists several of these in the Introductory chapter including financial applications, audio and video indexing, proctorless oral exams and surveillance. Speaker recognition is compared to twelve other Biometrics (from DNA to fingerprints, from face recognition to handwriting recognition) and the author then demonstrates how a multimodal recognition system can improve the accuracy of any single mode recognition approach.This textbook is most appropriate for a graduate level engineering or CS course. Ideally, students would have already taken courses on signal processing and probability and statistics. A couple of the chapters include problem sets for the students to solve but the course instructor will have to devise his/her own problem sets for the large part. Despite the voluminous nature of the book and the proliferation of mathematical equations (which is inevitable for a textbook of this nature), the book is easy to read and follow and the author has made a clear effort to engage, and share his passion with, the reader.I highly recommend this book to any professional working in the field of Biometrics.
By writing Fundamentals of Speaker Recognition, Homayoon Beigi took up the challenge to compose a comprehensive book on a rapidly growing scientific field. The result is 942 pages of a good academically structured literature. Whether one is a faculty, an engineer, a researcher or a student, he/she will find in Fundamentals of Speaker Recognition the necessary concepts for see soaking and/or reviewing the theories, theorems and practical applications of the fascinating domain of speaker recognition. While keeping next to me this first edition, I am impatient to get an eventual newer one to come or another book from this author who is well dedicated to his work.
As a practitioner of pattern recognition and computer vision I have benefitted from this book. I find it thorough and comprehensive in its treatment of its topics, which in my view are fairly extensive. It often traces back its topics to the seminal work on which they rest and elaborates them in reasonable details with rigor while offering ample introductory description as supplemental.
Best book for speaker & speech recognition ! . Concepts explained very clearly . My personal favorite is the probability review . Professor is really awesome and has tons for experience in this field. Worth reading for any Masters or PhD enthusiast .
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