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Implicit Feedback for User-Adaptive Systems by Analyzing the Users’ Speech

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dc.contributor.authorWittig, Frankde_DE
dc.contributor.authorMüller, Christiande_DE
dc.date.accessioned2017-11-15T15:01:42Z
dc.date.available2017-11-15T15:01:42Z
dc.date.issued2003
dc.description.abstractThis 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.urihttp://abis.l3s.uni-hannover.de/images/proceedings/abis2003/wittig.pdfde_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5135
dc.language.isoende_DE
dc.relation.ispartof11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen"de_DE
dc.titleImplicit Feedback for User-Adaptive Systems by Analyzing the Users’ Speechde_DE
dc.typeText/Conference Paper
gi.document.qualitydigidoc

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ABIS 2003 – 11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen"