A dictionary-adaptive speech driven user interface for a distributed multimedia platform

Johannes Peltola, Johan Plomp, Tapio Seppänen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    7 Citations (Scopus)

    Abstract

    The goal of the PRINCESS project is the development of a distributed end-to-end multimedia platform prototype. The platform supports access to media servers in a computer network via various types of mobile terminals. New paradigms for user interfaces are applied in order to make the terminal devices more intelligent and to enable hands-free operation for a busy user. A speech recognition module capable of recognising Finnish words has been integrated into the user interface. The vocabulary of command words is continuously restricted and adapted to the part of the user interface under control. The experimental system has been demonstrated in a distributed digital image retrieval application. Several different more conventional user interfaces may be used in the application, but the user may also opt to use a speech driven interface. Experiments show that the use of a dynamic vocabulary greatly reduces the recognition errors as compared to a fill set of command words in our application.
    Original languageEnglish
    Title of host publicationProceedings 25th EUROMICRO Conference. Informatics
    Subtitle of host publicationTheory and Practice for the New Millennium
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages326-332
    ISBN (Print)0-7695-0321-7
    DOIs
    Publication statusPublished - 1999
    MoE publication typeA4 Article in a conference publication
    Event25th EUROMICRO Conference - Milan, Italy
    Duration: 8 Sep 199910 Sep 1999

    Conference

    Conference25th EUROMICRO Conference
    Country/TerritoryItaly
    CityMilan
    Period8/09/9910/09/99

    Keywords

    • User interfaces
    • speech recognition
    • vocabulary
    • mobile computing
    • digital images
    • image retrieval

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