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Automatic Speech And Speaker Recognition (Cód: 6108702)

Chin-Hui Lee; Kuldip K. Paliwal; Frank K. Soong

SPRINGER VERLAG POD

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Automatic Speech And Speaker Recognition

R$1.735,30

Descrição

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.

Características

Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
Cód. Barras 9780792397069
Altura 23.40 cm
I.S.B.N. 9780792397069
Profundidade 3.02 cm
Referência 9780792397069
Ano da edição 1996
Idioma Inglês
Número de Páginas 536
Peso 0.91 Kg
Largura 15.60 cm
AutorChin-Hui Lee; Kuldip K. Paliwal; Frank K. Soong

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