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LTC 2013: Human Language Technology. Challenges for Computer Science and Linguistics pp 397–410Cite as

A Phonetization Approach for the Forced-Alignment Task in SPPAS

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9561))

Abstract

The phonetization of text corpora requires a sequence of processing steps and resources in order to convert a normalized text in its constituent phones and then to directly exploit it by a given application. This paper presents a generic approach for text phonetization and concentrates on the aspects of phonetizing unknown words. This serves to develop a phonetizer in the context of forced-alignment application. The proposed approach is dictionary-based, which is as language-independent as possible. It is used on French, English, Spanish, Italian, Catalan, Polish, Mandarin Chinese, Taiwanese, Cantonese and Japanese in SPPAS software, a tool distributed under the terms of the GPL license.

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Acknowledgement

This work has been partly carried out thanks to the support of the French state program ORTOLANG (Ref. Nr. ANR-11-EQPX-0032) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR). The support is gratefully acknowledged (http://www.ortolang.fr).

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Authors and Affiliations

  1. Laboratoire Parole et Langage, CNRS, Aix-Marseille Université, 5, Avenue Pasteur, BP80975, 13604, Aix-en-Provence, France

    Brigitte Bigi

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  1. Brigitte Bigi
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Correspondence to Brigitte Bigi .

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Editors and Affiliations

  1. Adam Mickiewicz University , Poznań, Poland

    Zygmunt Vetulani

  2. Deutsches Forschungszentrum f. Künstl.Intelligenz (DFKI GmbH), Saarbrücken, Saarland, Germany

    Hans Uszkoreit

  3. Adam Mickiewicz University , Poznań, Poland

    Marek Kubis

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Bigi, B. (2016). A Phonetization Approach for the Forced-Alignment Task in SPPAS. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_30

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  • DOI: https://doi.org/10.1007/978-3-319-43808-5_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43807-8

  • Online ISBN: 978-3-319-43808-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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