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Experiments on Reducing Footprint of Unit Selection TTS System

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8082)

Abstract

The quality of speech produced by modern TTS systems utilizing the unit selection approach is very high. However, the system demands are enormous. The storage requirements are directly proportional to the size of speech unit inventory from which the units are selected during the synthesis process. This paper presents the analysis and reduction experiments performed on two large speech corpora employed by a unit selection TTS system for the Czech language. A procedure for exclusion of utterances from the default speech corpus based on statistics of the usage of particular speech units was proposed. The exclusion of whole utterances from the corpus was preferred over the exclusion of individual speech units in order to preserve the fundamental feature of the unit selection method – selection of possibly longest sequences of speech units. Experiments were performed for several reduction levels. Resulting synthetic speech was evaluated by a proposed statistics based on the concatenation points density. Moreover, the speech quality was evaluated in listening tests. All reduced versions of TTS system were evaluated as similar or slightly worse than the baseline system.

Keywords

  • speech synthesis
  • TTS
  • unit selection
  • reducing footprint

This work was supported by the Ministry of Industry and Trade of the Czech Republic, project No. MPO FR-TI1/518. The access to computing and storage facilities owned by parties and projects contributing to the National Grid Infrastructure MetaCentrum, provided under the program ”Projects of Large Infrastructure for Research, Development, and Innovations” (LM2010005) is highly appreciated.

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Hanzlíček, Z., Matoušek, J., Tihelka, D. (2013). Experiments on Reducing Footprint of Unit Selection TTS System. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40585-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-40585-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40584-6

  • Online ISBN: 978-3-642-40585-3

  • eBook Packages: Computer ScienceComputer Science (R0)