Second Language Prosody and Computer Modeling

This volume presents an interdisciplinary approach to the study of second language prosody and computer modeling. It will foster interdisciplinary dialogues across students and researchers in applied linguistics, speech communication, speech science, and computer engineering.

Autorentext

Okim Kang is Professor of Applied Linguistics and Director of the Applied Linguistics Speech Lab at Northern Arizona University, Flagstaff, AZ. Her research interests include speech production and perception, L2 pronunciation and intelligibility, L2 oral assessment and testing, automated scoring and speech recognition, World Englishes, and language attitude.

David O. Johnson is an associate teaching professor of Electrical Engineering and Computer Science at the University of Kansas. His research interests are in artificial intelligence, machine learning, natural language processing, and human-robot interaction.

Alyssa Kermad is an assistant professor of Applied Linguistics and TESOL at California State Polytechnic University, Pomona. Her research interests are in second language speech and pronunciation, speech perception, prosody and pragmatics, second language acquisition, individual differences, and speech assessment.

Inhalt

List of Figures

List of Tables

Introduction

Part I Linguistic Foundations of Prosody

Chapter 1 Overview of Prosody

Chapter 2 Frameworks of Prosody

Chapter 3 Prosodic Analyses of Natural Speech

Part II Computer Applications of Prosody

Chapter 4 Computerized Systems for Syllabification

Chapter 5 Computerized Systems for Measuring Suprasegmental Features

Chapter 6 Computer Models for Predicting Oral Proficiency and Intelligibility

Part III The Future of Prosody Models

Chapter 7 Future Research and Applications

Useful Resources

References

Index