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Automatic Parameter Estimation for a Context-Independent Speech Segmentation Algorithm

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Text, Speech and Dialogue (TSD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2448))

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Abstract

In the framework of a recently introduced algorithm for speech phoneme segmentation, a novel strategy has been elaborated for comparing different speech encoding methods and for finding parameters which are optimal to the algorithm. The automatic procedure that implements this strategy allows to improve previously declared performances and poses the basis for a more accurate comparison between the investigated segmentation system and other segmentation methods proposed in literature.

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Author information

Authors and Affiliations

  1. Dipartimento di Fisica “E.R. Caianiello”, Universitá di Salerno, Italy

    Guido Aversano

  2. Department of Computer Science and Engineering, Wright State University, Ohio, Dayton, USA

    Anna Esposito

  3. International Institute for Advanced Scientific Studies (IIASS), Vietri sul Mare, SA, Italy

    Guido Aversano & Anna Esposito

Authors
  1. Guido Aversano
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  2. Anna Esposito
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Editor information

Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Aversano, G., Esposito, A. (2002). Automatic Parameter Estimation for a Context-Independent Speech Segmentation Algorithm. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_40

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  • DOI: https://doi.org/10.1007/3-540-46154-X_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44129-8

  • Online ISBN: 978-3-540-46154-8

  • eBook Packages: Springer Book Archive

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