Title :
Modelling multimodal user ID in dialogue
Author :
Holzapfel, Hartwig ; Waibel, Alex
Author_Institution :
Interactive Syst. Labs., Univ. Karlsruhe, Karlsruhe
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;
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
DOI :
10.1109/SLT.2008.4777853
