Spoken dialog systems based on online generated stochastic finite-state transducers

详细信息    查看全文

• 作者：Lluí ; s-F. Hurtado ; ^{lhurtado@dsic.upv.es" class="auth_mail" title="E-mail the corresponding author} ; Joaquin Planells ^{xplanells@dsic.upv.es" class="auth_mail" title="E-mail the corresponding author} ; Encarna Segarra ^{esegarra@dsic.upv.es" class="auth_mail" title="E-mail the corresponding author} ; Emilio Sanchis ^{esanchis@dsic.upv.es" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Spoken dialog systems ; Dialog management ; Statistical models ; Stochastic finite-state transducers ; User simulation ; Coverage problems
• 刊名：Speech Communication
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：83
• 期：Complete
• 页码：81-93
• 全文大小：1328 K

文摘

In this paper, we present an approach for the development of spoken dialog systems based on the statistical modelization of the dialog manager. This work focuses on three points: the modelization of the dialog manager using Stochastic Finite-State Transducers, an unsupervised way to generate training corpora, and a mechanism to address the problem of coverage that is based on the online generation of synthetic dialogs. Our proposal has been developed and applied to a sport facilities booking task at the university. We present experimentation evaluating the system behavior on a set of dialogs that was acquired using the Wizard of Oz technique as well as experimentation with real users. The experimentation shows that the method proposed to increase the coverage of the Dialog System was useful to find new valid paths in the model to achieve the user goals, providing good results with real users.