Dialog act tagging using graphical models

Abstract

Detecting discourse patterns, such as dialog acts (DAs), is an important factor for processing spoken conversations and meetings. Different techniques, such as hidden Markov models and neural networks, have been used to tag dialog acts in the past. A full analysis of dialog act tagging using different generative and conditional dynamic Bayesian networks… (More)
DOI: 10.1109/ICASSP.2005.1415043

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