Paper: An Unsupervised Dynamic Bayesian Network Approach to Measuring Speech Style Accommodation

ACL ID E12-1080
Title An Unsupervised Dynamic Bayesian Network Approach to Measuring Speech Style Accommodation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

Speech style accommodation refers to shifts in style that are used to achieve strate- gic goals within interactions. Models of stylistic shift that focus on specific fea- tures are limited in terms of the contexts to which they can be applied if the goal of the analysis is to model socially motivated speech style accommodation. In this pa- per, we present an unsupervised Dynamic Bayesian Model that allows us to model stylistic style accommodation in a way that is agnostic to which specific speech style features will shift in a way that resem- bles socially motivated stylistic variation. This greatly expands the applicability of the model across contexts. Our hypothesis is that stylistic shifts that occur as a result of social processes are likely to display some consistency over time, and ...