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.
