| 摘要註: |
This volume presents an interdisciplinary approach to the study of second language prosody and computer modeling. Itaddresses the importance of prosody's role in communication, bridging the gap between applied linguistics and computer science. The book illustrates thegrowing importance of the relationship between automated speech recognition systems and language learning assessment in light of new technologies and showcases how the study of prosody in this context in particular can offer innovative insights into the computerized process ofnatural discourse. The book offers detailed accounts of different methods of analysis and computer models used anddemonstrates how these models can be applied to L2 discourse analysis toward predicting real-world language use. Kang, Johnson, and Kermad also use these frameworks as a jumping-off point from which to propose new models ofsecond language prosody and future directions for prosodiccomputer modeling more generally. Making the case for the use of naturalistic data for real-world applications in empirical research, this volume will foster interdisciplinary dialogues across students and researchers in applied linguistics, speech communication, speech science, and computer engineering. --Provided by publisher |