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Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics)
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Automatic Speech and Speaker Recognition - Advanced Topics (Hardcover, 1996 ed.)
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Automatic Speech and Speaker Recognition - Advanced Topics (Hardcover, 1996 ed.)
Series: The Springer International Series in Engineering and Computer Science, 355
Expected to ship within 10 - 15 working days
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Research in the field of automatic speech and speaker recognition
has made a number of significant advances in the last two decades,
influenced by advances in signal processing, algorithms,
architectures, and hardware. These advances include: the adoption
of a statistical pattern recognition paradigm; the use of the
hidden Markov modeling framework to characterize both the spectral
and the temporal variations in the speech signal; the use of a
large set of speech utterance examples from a large population of
speakers to train the hidden Markov models of some fundamental
speech units; the organization of speech and language knowledge
sources into a structural finite state network; and the use of
dynamic, programming based heuristic search methods to find the
best word sequence in the lexical network corresponding to the
spoken utterance. Automatic Speech and Speaker Recognition:
Advanced Topics groups together in a single volume a number of
important topics on speech and speaker recognition, topics which
are of fundamental importance, but not yet covered in detail in
existing textbooks. Although no explicit partition is given, the
book is divided into five parts: Chapters 1-2 are devoted to
technology overviews; Chapters 3-12 discuss acoustic modeling of
fundamental speech units and lexical modeling of words and
pronunciations; Chapters 13-15 address the issues related to
flexibility and robustness; Chapter 16-18 concern the theoretical
and practical issues of search; Chapters 19-20 give two examples of
algorithm and implementational aspects for recognition system
realization. Audience: A reference book for speech researchers and
graduate students interested in pursuing potential research on the
topic. May also be used as a text for advanced courses on the
subject.
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