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Predicting Prosody from Text for Text-to-Speech Synthesis (Record no. 10650)

000 -LEADER
fixed length control field 02517nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143337.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120426s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461413387
978-1-4614-1338-7
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rao, K. Sreenivasa.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Predicting Prosody from Text for Text-to-Speech Synthesis
Medium [electronic resource] /
Statement of responsibility, etc by K. Sreenivasa Rao.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 130p. 42 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Electrical and Computer Engineering,
International Standard Serial Number 2191-8112
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Prosody Knowledge for Speech Systems: A Review -- 3. Analysis of Durationsn of Sound Units -- 4. Modeling Duration -- 5. Modeling Intonation -- 6. Prosody Modification -- 7. Practical Aspects of Prosody Modification -- 8. Summary and Conclusions -- Appendix A. Coding Scheme Used to Represent Linguistic and Production Constraints.
520 ## - SUMMARY, ETC.
Summary, etc Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Translators (Computer programs).
Topical term or geographic name as entry element Computational linguistics.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Signal, Image and Speech Processing.
Topical term or geographic name as entry element Computational Linguistics.
Topical term or geographic name as entry element Language Translation and Linguistics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461413370
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-1338-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-29AUM Main Library2014-03-29 2014-03-29 E-Book   AUM Main Library621.382

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