Acoustic Features for Profiling Mobile Users of Conversational Interfaces

D. Toney, D. Feinberg, K. Richmond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conversational interfaces allow human users to use spoken language to interact with computer-based information services. In this paper, we examine the potential for personalizing speech-based human-computer interaction according to the user's gender and age. We describe a system that uses acoustic features of the user's speech to automatically estimate these physical characteristics. We discuss the difficulties of implementing this process in relation to the high level of environmental noise that is typical of mobile human-computer interaction.
Original languageEnglish
Title of host publication6th International Symposium on Mobile Human-Computer Interaction - MobileHCI 2004
EditorsS. Brewster, M. Dunlop
PublisherSpringer-Verlag GmbH
Pages394-398
Number of pages5
ISBN (Electronic)978-3-540-28637-0
ISBN (Print)978-3-540-23086-1
DOIs
Publication statusPublished - Sep 2004

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
Volume3160
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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