Fundamentals of Speaker Recognition

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Автор: Beigi H.

Название: Fundamentals of Speaker Recognition

Издательство: Springer

Год: 2011

Формат: PDF

Размер: 13 Мб

Язык: Английский

Страниц: 1029

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When I was being interviewed at the handwriting recognition group of IBM T.J. Watson Research Center in December of 1990, one of the interviewers asked me why, being a mechanical engineer, I was applying for a position in that group. Well, he was an electrical engineer and somehow was under the impression that handwriting recognition was an electrical engineering field! My response was that I had done research on Kinematics, Dynamics, Control, Signal Processing, Optimization, Neural Network Learning theory and lossless image compression during the past 7 years while I was in graduate school. I asked him what background he thought would have been more relevant to do research in handwriting recognition.

Anyhow, I joined the on-line handwriting recognition group which worked sideby- side with the speech recognition group. Later, I transferred to the speech recognition group and worked on speaker recognition. Aside from the immediate front-end processing, on-line handwriting recognition, signature verification, speech recognition and speaker recognition have a lot in common. During the 10 years at IBM I also worked on many complementary problems such as phonetics, statistical learning theory, language modeling, information theoretic research, etc. This continued with further work on real-time large-scale optimization, interactive voice response systems, standardization and more detailed speaker recognition research at Recognition Technologies, Inc. to the present date, not to mention the many years of code optimization, integer arithmetic, software architecture and alike within the past 25 years.

The reason for sharing this story with the reader is to point out the extreme multidisciplinary nature of the topic of speaker recognition. In fact, every one of the fields which I mentioned above, was quite necessary for attaining a deep understanding of the subject. This was the prime motivation which lead me to the writing of this book. As far as I know, this is the first textbook (reference book) on the subject which tries to deal with every aspect of the field, as much as possible. I have personally designed and implemented (coded) two full-featured speaker recognition systems and in the process have had to deal with many different aspects of the subject from theory to practice.