Implicit Feedback for User-Adaptive Systems by Analyzing the Users’ Speech
dc.contributor.author | Wittig, Frank | de_DE |
dc.contributor.author | Müller, Christian | de_DE |
dc.date.accessioned | 2017-11-15T15:01:42Z | |
dc.date.available | 2017-11-15T15:01:42Z | |
dc.date.issued | 2003 | |
dc.description.abstract | This paper describes an approach to recognize the gender and age of a user on the basis of her/his speech. Within a two-level framework, machine learning techniques are applied to learn several appropriate classifiers whose results are combined on the top level to improve the overall classification of the user. As a part of the user model, the information about the user’s age and gender can be an important basis for appropriate adaptation decisions. | |
dc.identifier.uri | http://abis.l3s.uni-hannover.de/images/proceedings/abis2003/wittig.pdf | de_DE |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/5135 | |
dc.language.iso | en | de_DE |
dc.relation.ispartof | 11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen" | de_DE |
dc.title | Implicit Feedback for User-Adaptive Systems by Analyzing the Users’ Speech | de_DE |
dc.type | Text/Conference Paper | |
gi.document.quality | digidoc |