Automated speaking assessment : using language technologies to score spontaneous speech / edited by Klaus Zechner and Keelan Evanini

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Material type:

TextPublication details: New York : Routledge, 2020.Description: xvi, 211 pISBN:

9781138056879

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DDC classification:

428.007 6 ZEC E

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

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Reference text books	All India Institute of Speech and Hearing		R-20/1		428.007 6 ZEC E (Browse shelf(Opens below))					Available			22601
	Stack text books	All India Institute of Speech and Hearing		41/1		428.007 6 ZEC E;1 (Browse shelf(Opens below))					Available			22602

Total holds: 0

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

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