Modelling multimodal user ID in dialogue

Author

Holzapfel, Hartwig ; Waibel, Alex

Author_Institution

Interactive Syst. Labs., Univ. Karlsruhe, Karlsruhe

fYear

2008

fDate

15-19 Dec. 2008

Firstpage

113

Lastpage

116

Abstract

This paper presents an approach to model user ID in dialogue. A belief network is used to integrate ID classifiers, such as face ID and voice ID, and person related information, such as the first name and last name of a person from speech recognition or spelling. Different network structures are analyzed and compared with each other and are compared with a rule-based user model. The approach is evaluated on dialogue data collected in a person identification scenario, which includes both, identification of known persons and interactive learning of names and ID of unknown persons.

Keywords

belief networks; face recognition; interactive systems; learning (artificial intelligence); pattern classification; speech recognition; ID classifiers; belief network; dialogue; face ID; interactive learning; multimodal user ID modelling; person identification scenario; speech recognition; voice ID; Bayesian methods; Data mining; Human robot interaction; Humanoid robots; Intelligent networks; Interactive systems; Probability; Robot sensing systems; Speech recognition; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language Technology Workshop, 2008. SLT 2008. IEEE

Conference_Location

Goa

Print_ISBN

978-1-4244-3471-8

Electronic_ISBN

978-1-4244-3472-5

Type

conf

DOI

10.1109/SLT.2008.4777853

Filename

4777853