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Multilingual Speech Processing

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ISBN-10: 0120885018

ISBN-13: 9780120885015

Edition: 2006

Authors: Tanja Schultz, Katrin Kirchhoff

List price: $97.95
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Speech processing refers to the means through which a computer can comprehend spoken language to commence a sequence of events, for example voice dialing in cell phones. This work examines its uses today and the possible innovations for the future.
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Book details

List price: $97.95
Copyright year: 2006
Publisher: Elsevier Science & Technology
Publication date: 6/12/2006
Binding: Hardcover
Pages: 536
Size: 5.98" wide x 9.02" long x 0.54" tall
Weight: 2.156
Language: English

Contributor Biographies
Foreword
Introduction
Language Characteristics
Languages and Dialects
Linguistic Description and Classification
Language in Context
Writing Systems
Languages and Speech Technology
Linguistic Data Resources
Demands and Challenges of Multilingual Data-Collection Efforts
International Efforts and Cooperation
Data Collection Efforts in the United States
Data Collection Efforts in Europe
Overview Existing Language Resources in Europe
Multilingual Acoustic Modeling
Introduction
Problems and Challenges
Language Independent Sound Inventories and Representations
Acoustic Model Combination
Insights and Open Problems
Multilingual Dictionaries
Introduction
Multilingual Dictionaries
What Is a Word?
Vocabulary Selection
How to Generate Pronunciations
Discussion
Multilingual Language Modeling
Statistical Language Modeling
Model Estimation for New Domains and Speaking Styles
Crosslingual Comparisons: A Language Modeling Perspective
Crosslinguistic Bootstrapping for Language Modeling
Language Models for Truly Multilingual Speech Recognition
Discussion and Concluding Remarks
Multilingual Speech Synthesis
Background
Building Voices in New Languages
Database Design
Prosodic Modeling
Lexicon Building
Non-native Spoken Output
Summary
Automatic Language Identification
Introduction
Human Language Identification
Databases and Evaluation Methods
The Probabilistic LID Framework
Acoustic Approaches
Phonotactic Modeling
Prosodic LID
LVCSR-Based LID
Trends and Open Problems in LID
Other Challenges: Non-native Speech, Dialects, Accents, and Local Interfaces
Introduction
Characteristics of Non-native Speech
Corpus Analysis
Acoustic Modeling Approaches for Non-native Speech
Adapting to Non-native Accents in ASR
Combining Speaker and Pronunciation Adaptation
Cross-Dialect Recognition of Native Dialects
Applications
Other Factors in Localizing Speech-Based Interfaces
Summary
Speech-to-Speech Translation
Introduction
Statistical and Interlingua-Based Speech Translation Approaches
Coupling Speech Recognition and Translation
Portable Speech-to-Speech Translation: The ATR System
Conclusion
Multilingual Spoken Dialog Systems
Introduction
Previous Work
Overview of the ISIS System
Adaptivity to Knowledge Scope Expansion
Delegation to Software Agents
Interruptions and Multithreaded Dialogs
Empirical Observations on User Interaction with ISIS
Implementation of Multilingual SDS in VXML
Summary and Conclusions
Bibliography
Index