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An Open Source Speech Synthesis Frontend for HTS

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Text, Speech, and Dialogue (TSD 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9302))

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Abstract

This paper describes a software framework for HMM-based speech synthesis that we have developed and released to the public. The framework is compatible to the well-known HTS toolkit by incorporating hts_engine and Flite. It enables HTS voices to be used as Microsoft Windows system voices and to be integrated into Android and iOS apps. Non-English languages are supported through the capability to load Festival format pronunciation dictionaries and letter to sound rules. The release also includes an Austrian German voice model of a male, professional speaker recorded in studio quality as well as pronunciation dictionary, letter to sound rules and basic text preprocessing procedures for Austrian German. The framework is available under an MIT-style license.

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References

  1. Zen, H., Tokuda, K., Black, A.W.: Statistical parametric speech synthesis. Speech Communication 51(11), 1039–1064 (2009)

    Article  Google Scholar 

  2. Yamagishi, J., Kobayashi, T.: Average-voice-based speech synthesis using HSMM-based speaker adaptation and adaptive training. IEICE Transactions on Information and Systems E90–D(2), 533–543 (2007)

    Article  Google Scholar 

  3. Pucher, M., Schabus, D., Yamagishi, J., Neubarth, F., Strom, V.: Modeling and interpolation of Austrian German and Viennese dialect in HMM-based speech synthesis. Speech Communication 52(2), 164–179 (2010)

    Article  Google Scholar 

  4. Valentini-Botinhao, C., Toman, M., Pucher, M., Schabus, D., Yamagishi, J.: Intelligibility analysis of fast synthesized speech. In: Proc. Interspeech, Singapore, pp. 2922–2926, September 2014

    Google Scholar 

  5. Wu, Y.J., Nankaku, Y., Tokuda, K.: State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis. In: Proceedings of the 10th Annual Conference of the International Speech Communication Association (INTERSPEECH), Brighton, United Kingdom, pp. 528–531 (2009)

    Google Scholar 

  6. Toman, M., Pucher, M., Schabus, D.: Cross-variety speaker transformation in HSMM-based speech synthesis. In: Proceedings of the 8th ISCA Workshop on Speech Synthesis (SSW), Barcelona, Spain, pp. 77–81, August 2013

    Google Scholar 

  7. Zen, H., Nose, T., Yamagishi, J., Sako, S., Masuko, T., Black, A.W., Tokuda, K.: The HMM-based speech synthesis system (HTS) version 2.0. In: Proceedings of the 6th ISCA Workshop on Speech Synthesis (SSW), Bonn, Germany, pp. 294–299, August 2007

    Google Scholar 

  8. HTS working group: hts-engine. http://hts-engine.sourceforge.net/

  9. University of Edinburgh: Festival. http://www.cstr.ed.ac.uk/projects/festival/

  10. Carnegie Mellon University: Flite. http://www.festvox.org/flite/

  11. Microsoft Corporation: Visual Studio. https://www.visualstudio.com/

  12. Google Inc: Android NDK. https://developer.android.com/tools/sdk/ndk/

  13. Black, A.W., Lenzo, K., Pagel, V.: Issues in building general letter to sound rules. In: The Third ESCA Workshop in Speech Synthesis, pp. 77–80 (1998)

    Google Scholar 

  14. Yoshimura, T., Tokuda, K., Masuko, T., Kobayashi, T., Kitamura, T.: Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis. In: Proceedings of the 6th European Conference on Speech Communication and Technology (EUROSPEECH), Budapest, Hungary, pp. 2374–2350, September 1999

    Google Scholar 

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Correspondence to Markus Toman .

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© 2015 Springer International Publishing Switzerland

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Toman, M., Pucher, M. (2015). An Open Source Speech Synthesis Frontend for HTS. In: Král, P., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science(), vol 9302. Springer, Cham. https://doi.org/10.1007/978-3-319-24033-6_33

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  • DOI: https://doi.org/10.1007/978-3-319-24033-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24032-9

  • Online ISBN: 978-3-319-24033-6

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