Using word spotting to evaluate ROILA: a speech recognition friendly artificial language

O. Mubin, C. Bartneck, L.M.G. Feijs

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

    3 Citations (Scopus)

    Abstract

    In our research we argue for the benefits that an artificial language could provide to improve the accuracy of speech recognition. We briefly present the design and implementation of a vocabulary of our intended artificial language (ROILA), the latter by means of a genetic algorithm that attempted to generate words which would have low likelihood of being confused by a speech recognizer. Lastly we discuss the methodology and results of two word spotting experiments that were carried out to evaluate if indeed the vocabulary of ROILA achieved better recognition than English. Our results reveal that our initial vocabulary was not significantly better than English but when the vocabulary was modified to include CV-type words only, the vocabulary nearly significantly outperformed English.
    Original languageEnglish
    Title of host publicationProceedings of the 28th of the International Conference extended abstracts on Human factors in computing systems, April 10-15, 2010, Atlanta, Georgia
    PublisherAssociation for Computing Machinery, Inc
    Pages3289-3294
    ISBN (Print)978-1-60558-930-5
    DOIs
    Publication statusPublished - 2010
    Event28th Annual CHI Conference on Human Factors in Computing Systems - Florence, Italy
    Duration: 5 Apr 200810 Apr 2008
    Conference number: 28
    http://www.chi2010.org/

    Conference

    Conference28th Annual CHI Conference on Human Factors in Computing Systems
    Abbreviated titleCHI 2010
    CountryItaly
    CityFlorence
    Period5/04/0810/04/08
    Internet address

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