Estimation of speaking style in speech corpora focusing on speech transcriptions

Raymond Shen, Hideaki Kikuchi

    研究成果: Conference contribution

    抄録

    Recent developments in computer technology have allowed the construction and widespread application of large-scale speech corpora. To foster ease of data retrieval for people interested in utilising these speech corpora, we attempt to characterise speaking style across some of them. In this paper, we first introduce the 3 scales of speaking style proposed by Eskenazi in 1993. We then use morphological features extracted from speech transcriptions that have proven effective in style discrimination and author identification in the field of natural language processing to construct an estimation model of speaking style. More specifically, we randomly choose transcriptions from various speech corpora as text stimuli with which to conduct a rating experiment on speaking style perception; then, using the features extracted from those stimuli and the rating results, we construct an estimation model of speaking style by a multi-regression analysis. After the cross validation (leave-1-out), the results show that among the 3 scales of speaking style, the ratings of 2 scales can be estimated with high accuracies, which prove the effectiveness of our method in the estimation of speaking style.

    本文言語English
    ホスト出版物のタイトルProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
    出版社European Language Resources Association (ELRA)
    ページ2747-2752
    ページ数6
    ISBN(電子版)9782951740884
    出版ステータスPublished - 2014 1 1
    イベント9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
    継続期間: 2014 5 262014 5 31

    Other

    Other9th International Conference on Language Resources and Evaluation, LREC 2014
    国/地域Iceland
    CityReykjavik
    Period14/5/2614/5/31

    ASJC Scopus subject areas

    • 言語学および言語
    • 図書館情報学
    • 教育
    • 言語および言語学

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