Algorithmic classification of pitch movements

L.F.M. Bosch, ten

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    Abstract

    In this paper, we discuss the construction of an algorithm that classifies pitch movements according to the IPO intonation labelling. The classification is performed by a feed-forward network, interpreted as a multi-linear classifier. In speaker-independent tests on a corpus of speech read by non-professionals, up to 81 % of the 279 pitch movements in the test corpus were correctly classified. These results are obtained by using information from the sampled speech data files only; a grammar will be used in the second stage of this study.
    Original languageEnglish
    Title of host publicationProceedings of an ESCA Workshop on Prosody, Lund, Sweden, September 27-29, 1993
    EditorsD. House, P. Touati
    Place of PublicationLund, Sweden
    PublisherDepartment of Linguistics and Phonetics, Lund University
    Pages242-245
    Publication statusPublished - 1993

    Bibliographical note

    Working Papers 41

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