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Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis

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Text, Speech and Dialogue (TSD 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5246))

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Abstract

With the emergence of the HMM-synthesis paradigm, producing natural, expressive prosody has become viable in speech synthesis. This paper describes the development of rule-based prominence prediction model for Finnish Text-to-Speech system, based on deep syntactic analysis and discourse structure.

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Petr Sojka Aleš Horák Ivan Kopeček Karel Pala

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© 2008 Springer-Verlag Berlin Heidelberg

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Suni, A., Vainio, M. (2008). Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_68

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  • DOI: https://doi.org/10.1007/978-3-540-87391-4_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87390-7

  • Online ISBN: 978-3-540-87391-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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