Abstract
This paper presents an experimental German speech synthesis system. As in case of a Czech text-to-speech system ARTIC, statistical approach (using hidden Markov models) was employed to build a speech segment database. This approach was confirmed to be language independent and it was shown to be capable of designing a quality database that led to an intelligible synthetic speech of a high quality. Some experiments with clustering the similar speech contexts were performed to enhance the quality of the synthetic speech. Our results show the superiority of phoneme-level clustering to subphoneme-level one.
This research was supported by the project no. MSM235200004 of the Ministry of Education of Czech Republic and the firm SpeechTech.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Donovan R.E., Woodland P.C.: A Hidden Markov-Model-Based Trainable Speech Synthesizer. Computer Speech and Language, 13. (1999) 223–241.
Matoušek J., and Psutka J.: ARTIC: a New Czech Text-to-Speech System Using Statistical Approach to Speech Segment Database Construction. Proceedings of ICSLP2000, vol. IV. Beijing (2000) 612–615.
Matoušek J.: Text-to-Speech Synthesis Using Statistical Approach to Automatic Speech Segment Database Construction (in Czech). Ph.D. thesis, Pilsen (2001).
Matoušek J., Psutka J., and Krůta J.: On Building Speech Corpus for Concatenation-Based Speech Synthesis. Proceedings of Eurospeech2001, vol 3. AAlborg (2001) 2047–2050.
Gibbon D., Moore R., and Winski T.: Handbook of Standards and Resources for Spoken Language Systems. Mouton de Gruyter. Berlin (1997).
Young S.: Tree-Based State Tying for High Accuracy Acoustic Modelling. Proceedings of the ARPA Workshop on Human Language Technology. Plainsboro, New Jersey (1994) 307–312.
Hon H., Acero A., Huang X., Liu J., and Plumpe M.: Automatic Generation of Synthesis Units for Trainable Text-to-Speech Systems. Proceedings of ICASSP’98, vol. 1, Seattle (1998) 293–296.
Young S. et al.: The HTK Book. Entropic Inc. (1999).
Psutka J.: Communication with Computer by Speech (in Czech). Academia, Prague (1995).
Duden. Aussprachenwörterbuch (in German). Max Mangold, Duden-Verlag, vol. 6, Mannheim (1990).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matoušek, J., Tihelka, D., Psutka, J., Hesová, J. (2002). German and Czech Speech Synthesis Using HMM-Based Speech Segment Database. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_24
Download citation
DOI: https://doi.org/10.1007/3-540-46154-X_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44129-8
Online ISBN: 978-3-540-46154-8
eBook Packages: Springer Book Archive