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Experiments with Automatic Segmentation for Czech Speech Synthesis

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Text, Speech and Dialogue (TSD 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2807))

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This paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system [1]. Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An objective comparison of various experimental automatic and manual segmentations is performed to find out the best settings of the segmentation system with respect to our single-female-speaker continuous speech corpus.

This research was supported by the Grant Agency of Czech Republic No. 102/02/P134 and the Ministry of Education of Czech Republic, project No. MSM235200004.

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  1. Matoušek, J., Psutka, J.: ARTIC: a New Czech Text-to-Speech System Using Statistical Approach to Speech Segment Database Construction. In: Proceedings of ICSLP 2000, Beijing, vol. IV, pp. 612–615 (2000)

    Google Scholar 

  2. Matoušek, J., Psutka, J., Krůta, J.: On Building Speech Corpus for Concatenation-Based Speech Synthesis. In: Proceedings of Eurospeech 2001, Ålborg, vol. 3, pp. 2047–2050 (2001)

    Google Scholar 

  3. Ljolje, A., Hirschberg, J., van Santen, J.P.H.: Automatic Speech Segmentation for Concatenative Inventory Selection. In: Progress in Speech Synthesis, pp. 305–311. Springer, Heidelberg (1996)

    Google Scholar 

  4. Psutka, J., Müller, L., Psutka, J.V.: Comparison of MFCC and PLP Parameterization in the Speaker Independent Continuous Speech Recognition Task. In: Proceedings of Eurospeeech 2001, Ålborg, pp. 1813–1816 (2001)

    Google Scholar 

  5. Young, S., et al.: The HTK Book (for HTK Version 3.2). Cambridge University Press. Cambridge (2002)

    Google Scholar 

  6. Kim, Y.-J., Conkie, A.: Automatic Segmentation Combining an HMM-Based Approach and Spectral Boundary Correction. In: Proceedings of ICSLP 2002, Denver, pp. 145–148 (2002)

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Matoušek, J., Tihelka, D., Psutka, J. (2003). Experiments with Automatic Segmentation for Czech Speech Synthesis. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2003. Lecture Notes in Computer Science(), vol 2807. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20024-6

  • Online ISBN: 978-3-540-39398-6

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