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Prosodic Phrase Boundary Classification Based on Czech Speech Corpora

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Text, Speech, and Dialogue (TSD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10415))

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Abstract

The correct usage of phrase boundaries is an important issue for ensuring a natural sounding and easily intelligible speech. Therefore, it is not surprising that the boundary detection is also a part of text-to-speech systems. In the presented paper, large speech corpora are used for a classification based approach in order to improve the phrasing of synthesized sentences. The paper compares results of different classifiers to the deterministic approaches based on punctuation and conjunctions and shows that they are able to outperform the simple algorithms.

This research was supported by Ministry of Education, Youth and Sports of the Czech Republic, project No. LO1506, and by the grant of the University of West Bohemia, project No. SGS-2016-039.

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Authors and Affiliations

  1. New Technologies for the Information Society (NTIS) and Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic

    Markéta Jůzová

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  1. Markéta Jůzová
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Correspondence to Markéta Jůzová .

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Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein

  2. University of West Bohemia, Pilsen, Czech Republic

    Václav Matoušek

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Jůzová, M. (2017). Prosodic Phrase Boundary Classification Based on Czech Speech Corpora. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-64206-2_19

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  • Publisher Name: Springer, Cham

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