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From Text to Speech: The MI Talk System

by

Allen, Jonathan, Hunnicutt, M. Sharon, Klatt, Dennis

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Condition: Used - Good Seller: Rating: (15,633) 94% Ships From: Mishawaka, IN Shipping: Standard, Expedited Comments: Former Library book. Shows
some signs of wear, and
may have some markings on
the i... [more]
Former Library book. Shows
some signs of wear, and
may have some markings on
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From Text to Speech: The MI Talk System, ISBN 9780521306416 Own This Book? Sell It
ISBN-13:

9780521306416

ISBN:

0521306418

Pub Date: 1987
Publisher: Cambridge University Press Summary: This book describes the most comprehensive system yet developed for the automatic conversion of English text to intelligible and natural sounding synthetic speech. It offers detailed accounts of the various components any speech technologist needs to consider - algorithms for morphological analysis, letter-to-sound rules, syntactic analysis, lexical stress, timing and pitch, together with segmental synthesis. The MIT [read more]
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  • Seller: Better World BooksRecommended Seller
  • Seller Rating: (15,633) 94%
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  • Comments:
    Former Library book. Shows some signs of wear, and may have
    some markings on the inside. 100% Money Back Guarantee.
    Shipped to over one million happy customers. Your purchase [more]

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Product Details
ISBN-13:

9780521306416


ISBN:

0521306418


Pub Date: 1987
Publisher: Cambridge University Press

This book describes the most comprehensive system yet developed for the automatic conversion of English text to intelligible and natural sounding synthetic speech. It offers detailed accounts of the various components any speech technologist needs to consider - algorithms for morphological analysis, letter-to-sound rules, syntactic analysis, lexical stress, timing and pitch, together with segmental synthesis. The MIT text-to-speech system, on which Jonathan Allen has collaborated with Sheri Hunnicutt, Dennis Klatt and other colleagues, has set new standards for intelligibility, linguistic sophistication and methods of evaluation. This study will be an invaluable resource not only for professionals in the field, but for any reader with an informed interest in natural language processing.

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