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http://hdl.handle.net/1842/2004
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| Title: | Automatic dialogue act recognition using a dynamic Bayesian network |
| Authors: | Dielmann, Alfred
Renals, Steve |
| Issue Date: | 2007 |
| Citation: | A. Dielmann and S. Renals. Automatic dialogue act recognition using a dynamic Bayesian network. In S. Renals, S. Bengio, and J. Fiscus, editors, Proc. Multimodal Interaction and Related Machine Learning Algorithms Workshop (MLMI-06), pages 178-189. Springer, 2007. |
| Abstract: | We propose a joint segmentation and classification approach for the dialogue act recognition task on natural multi-party meetings (ICSI Meeting Corpus). Five broad DA categories are automatically recognised using a generative Dynamic Bayesian Network based infrastructure. Prosodic features and a switching graphical model are used to estimate DA boundaries, in conjunction with a factored language model which is used to relate words and DA categories. This easily generalizable and extensible system promotes a rational approach to the joint DA segmentation and recognition task, and is capable of good recognition performance. |
| Keywords: | speech technology |
| URI: | http://hdl.handle.net/1842/2004 |
| Appears in Collections: | CSTR publications
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