Citation
M. Zimmermann, A. Stolcke and E. Shriberg, “Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings,” 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, pp. I-I, doi: 10.1109/ICASSP.2006.1660087.
Abstract
This paper investigates a scheme for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus based on hidden-event language models and a maximum entropy classifier for the modeling of word boundary types. Specifically, the modeling of the boundary types takes into account dependencies between the duration of a pause and its surrounding words. Results for the proposed method compare favorably with our previous work on the same task.
