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.

"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.

• Table of ContentsList of ContributorsSeries Editors’ ForewordAcknowledgmentsList of Tables and FiguresPart I: IntroductionChapter 1: Overview of Automated Speech Scoring Keelan Evanini and Klaus ZechnerChapter 2: Validity Considerations for Using Automated Scoring in Speaking AssessmentMo Zhang, Brent Bridgeman, and Larry DavisChapter 3: Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses Using Human and Machine ScoresMo Zhang, Lili Yao, Shelby J. Haberman, and Neil J. DoransPart II: Components of an Automated Speech Scoring SystemChapter 4: Automatic Speech Recognition for Automated Speech ScoringYao Qian, Patrick Lange, and Keelan EvaniniChapter 5: Scoring and Filtering Models for Automated Speech ScoringAnastassia Loukina and Su-Youn YoonPart III: Speech FeaturesIntroduction to Part IIIKlaus ZechnerChapter 6: Features Measuring Fluency and PronunciationChing-Ni Hsieh, Klaus Zechner, and Xiaoming XiChapter 7: Features Measuring Vocabulary and GrammarSu-Youn Yoon, Xiaofei Lu, and Klaus ZechnerChapter 8: Features Measuring Content and Discourse CoherenceXinhao Wang and Keelan EvaniniPart IV: Recent Developments and OutlookChapter 9: Providing SpeechRater Feature Performance as Feedback on Spoken ResponsesLin Gu and Larry DavisChapter 10: Beyond Monologues: Automated Processing of Conversational SpeechVikram Ramanarayanan, Keelan Evanini, and Eugene TsuprunChapter 11: Summary and Outlook on Automated Speech ScoringKlaus ZechnerAppendixIndex

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.

"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.

• Table of ContentsList of ContributorsSeries Editors’ ForewordAcknowledgmentsList of Tables and FiguresPart I: IntroductionChapter 1: Overview of Automated Speech Scoring Keelan Evanini and Klaus ZechnerChapter 2: Validity Considerations for Using Automated Scoring in Speaking AssessmentMo Zhang, Brent Bridgeman, and Larry DavisChapter 3: Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses Using Human and Machine ScoresMo Zhang, Lili Yao, Shelby J. Haberman, and Neil J. DoransPart II: Components of an Automated Speech Scoring SystemChapter 4: Automatic Speech Recognition for Automated Speech ScoringYao Qian, Patrick Lange, and Keelan EvaniniChapter 5: Scoring and Filtering Models for Automated Speech ScoringAnastassia Loukina and Su-Youn YoonPart III: Speech FeaturesIntroduction to Part IIIKlaus ZechnerChapter 6: Features Measuring Fluency and PronunciationChing-Ni Hsieh, Klaus Zechner, and Xiaoming XiChapter 7: Features Measuring Vocabulary and GrammarSu-Youn Yoon, Xiaofei Lu, and Klaus ZechnerChapter 8: Features Measuring Content and Discourse CoherenceXinhao Wang and Keelan EvaniniPart IV: Recent Developments and OutlookChapter 9: Providing SpeechRater Feature Performance as Feedback on Spoken ResponsesLin Gu and Larry DavisChapter 10: Beyond Monologues: Automated Processing of Conversational SpeechVikram Ramanarayanan, Keelan Evanini, and Eugene TsuprunChapter 11: Summary and Outlook on Automated Speech ScoringKlaus ZechnerAppendixIndex

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.

"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.

• Table of ContentsList of ContributorsSeries Editors’ ForewordAcknowledgmentsList of Tables and FiguresPart I: IntroductionChapter 1: Overview of Automated Speech Scoring Keelan Evanini and Klaus ZechnerChapter 2: Validity Considerations for Using Automated Scoring in Speaking AssessmentMo Zhang, Brent Bridgeman, and Larry DavisChapter 3: Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses Using Human and Machine ScoresMo Zhang, Lili Yao, Shelby J. Haberman, and Neil J. DoransPart II: Components of an Automated Speech Scoring SystemChapter 4: Automatic Speech Recognition for Automated Speech ScoringYao Qian, Patrick Lange, and Keelan EvaniniChapter 5: Scoring and Filtering Models for Automated Speech ScoringAnastassia Loukina and Su-Youn YoonPart III: Speech FeaturesIntroduction to Part IIIKlaus ZechnerChapter 6: Features Measuring Fluency and PronunciationChing-Ni Hsieh, Klaus Zechner, and Xiaoming XiChapter 7: Features Measuring Vocabulary and GrammarSu-Youn Yoon, Xiaofei Lu, and Klaus ZechnerChapter 8: Features Measuring Content and Discourse CoherenceXinhao Wang and Keelan EvaniniPart IV: Recent Developments and OutlookChapter 9: Providing SpeechRater Feature Performance as Feedback on Spoken ResponsesLin Gu and Larry DavisChapter 10: Beyond Monologues: Automated Processing of Conversational SpeechVikram Ramanarayanan, Keelan Evanini, and Eugene TsuprunChapter 11: Summary and Outlook on Automated Speech ScoringKlaus ZechnerAppendixIndex