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Author:   Klaus Zechner ,  Keelan Evanini
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.308kg
ISBN:  

9781138056879

ISBN 10:   1138056871
Pages:   212
Publication Date:   05 December 2019
Audience:   General/trade ,  Professional and scholarly ,  General ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Table of Contents List of Contributors Series Editors’ Foreword Acknowledgments List of Tables and Figures Part I: Introduction Chapter 1: Overview of Automated Speech Scoring Keelan Evanini and Klaus Zechner Chapter 2: Validity Considerations for Using Automated Scoring in Speaking Assessment Mo Zhang, Brent Bridgeman, and Larry Davis Chapter 3: Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses Using Human and Machine Scores Mo Zhang, Lili Yao, Shelby J. Haberman, and Neil J. Dorans Part II: Components of an Automated Speech Scoring System Chapter 4: Automatic Speech Recognition for Automated Speech Scoring Yao Qian, Patrick Lange, and Keelan Evanini Chapter 5: Scoring and Filtering Models for Automated Speech Scoring Anastassia Loukina and Su-Youn Yoon Part III: Speech Features Introduction to Part III Klaus Zechner Chapter 6: Features Measuring Fluency and Pronunciation Ching-Ni Hsieh, Klaus Zechner, and Xiaoming Xi Chapter 7: Features Measuring Vocabulary and Grammar Su-Youn Yoon, Xiaofei Lu, and Klaus Zechner Chapter 8: Features Measuring Content and Discourse Coherence Xinhao Wang and Keelan Evanini Part IV: Recent Developments and Outlook Chapter 9: Providing SpeechRater Feature Performance as Feedback on Spoken Responses Lin Gu and Larry Davis Chapter 10: Beyond Monologues: Automated Processing of Conversational Speech Vikram Ramanarayanan, Keelan Evanini, and Eugene Tsuprun Chapter 11: Summary and Outlook on Automated Speech Scoring Klaus Zechner Appendix Index

Reviews

This book is a landmark volume that provide a comprehensive synthesis of work on automated speech assessment over the past 20 years at Educational Testing Services. The book compiles vital viewpoints, theories, applications, and knowledge from assessment specialists, linguists, computer scientists, and statisticians to provide an engaging and approachable introduction to a dense and innovative field of study that has direct and important implications for language assessment and natural language processing. The book will find a warm welcome in university classrooms, researchers' bookshelves, and libraries for years to come by providing essential knowledge that will help new and experienced readers immerse themselves in automated speech assessment. The individual chapters provide important methodological advances, data analysis approaches, best-practice, and clear interpretations that will help move speech assessment into the next generation. The book fills an important gap by connecting automated speech technology, natural language processing, and statistical learning with applied speech assessment. Scott Andrew Crossley, Georgia State University, USA.

This book is a landmark volume that provide a comprehensive synthesis of work on automated speech assessment over the past 20 years at Educational Testing Services. The book compiles vital viewpoints, theories, applications, and knowledge from assessment specialists, linguists, computer scientists, and statisticians to provide an engaging and approachable introduction to a dense and innovative field of study that has direct and important implications for language assessment and natural language processing. The book will find a warm welcome in university classrooms, researchers' bookshelves, and libraries for years to come by providing essential knowledge that will help new and experienced readers immerse themselves in automated speech assessment. The individual chapters provide important methodological advances, data analysis approaches, best-practice, and clear interpretations that will help move speech assessment into the next generation. The book fills an important gap by connecting automated speech technology, natural language processing, and statistical learning with applied speech assessment. Scott Andrew Crossley, Georgia State University, USA.

Author Information

Klaus Zechner is a Senior Research Scientist at the Educational Testing Service and leads a team of speech scientists within the NLP & Speech group in the R&D division. Keelan Evanini (Ph.D., University of Pennsylvania) is a Research Director at the Educational Testing Service. 　 　

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