Representation of Spoken Words in a Self-Organizing Neural Net

L.P.J. Veelenturf

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    Abstract

    This paper will deal with an algorithm for a twodimensional representation of the acoustic signal of spoken words. Having such an algorithm one can use the result for different applications like speech recognition and machine control by voice. If such a map from the domain of continuous speech signals to a two- (or three-) dimensional Euclidean space can be argued to be a reasonable model of the human speech processing system, then one can even investigate with this model psycho linguistic phenomena. The algorithm is in fact a shortcut for a self-organizing artificial neural network as developed by Kohonen
    Original languageEnglish
    Title of host publicationConnectionism and natural language processing
    Subtitle of host publicationProceedings of the Third Twente Workshop on Language Technology (TWILT 3, 1992)
    EditorsM.F.J. Drossaers, A. Nijholt
    Place of PublicationEnschede
    PublisherUniversity of Twente
    Pages1-5
    Number of pages5
    Publication statusPublished - 6 May 1992
    Event3rd Twente Workshop on Language Technology, TWLT 3 - University of Twente, Enschede, Netherlands
    Duration: 12 May 199213 May 1992
    Conference number: 3

    Publication series

    NameMemoranda Informatica
    PublisherUniversity of Twente
    Number92-64
    NameTwente Workshop on Language Technology
    PublisherUniversity of Twente
    Volume3
    ISSN (Print)0929-0672

    Workshop

    Workshop3rd Twente Workshop on Language Technology, TWLT 3
    Abbreviated titleTWLT
    CountryNetherlands
    CityEnschede
    Period12/05/9213/05/92

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  • Cite this

    Veelenturf, L. P. J. (1992). Representation of Spoken Words in a Self-Organizing Neural Net. In M. F. J. Drossaers, & A. Nijholt (Eds.), Connectionism and natural language processing: Proceedings of the Third Twente Workshop on Language Technology (TWILT 3, 1992) (pp. 1-5). (Memoranda Informatica; No. 92-64), (Twente Workshop on Language Technology; Vol. 3). Enschede: University of Twente.