Skip to main content

An Optimization of Fundamental Frequency and Length of Syllables for Rule-Based Speech Synthesis

  • Conference paper
Book cover Future Generation Information Technology (FGIT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6485))

Included in the following conference series:

  • 1970 Accesses

Abstract

In this paper an optimization method has been proposed to minimize the differences of fundamental frequency (F 0) and the differences of length among the speakers and the phonemes. Within tone languages use pitch variation to construct meaning of the words, we need to define the optimized fundamental F 0 and length to obtain the naturalness of synthetic sound. Large variability exists in the F 0 and the length uttered by deferent speakers and different syllables. Hence for speech synthesis normalization of F 0 and lengths are important to discriminate tones. Here, we implement tone rule by using two parameters; optimized F 0 and length. As an advantage in the proposed method, the optimized parameters can be separated to male and female group. The effectiveness of the proposed method is confirmed by the distribution of F 0 and length. Listening tests with high correct rates approve intelligibility of synthetic sound.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lee, M., Lopresti, D.P., Olive, J.P.: A Text-To-Speech Platform for Variable Length Optimal Unit Searching Using Perception Based Cost Function. International Journel Of Speech Technology 6, 347–365 (2003)

    Article  Google Scholar 

  2. Win, K.Y., Takara, T.: Myanmar Speech Synthesis System Using Cepstral Method. In: The International Conference on Electrical Engineering (2008)

    Google Scholar 

  3. Win, K.Y., Takara, T.: Rule-based speech synthesis of Myanmar Using Cepstral Method. In: Proceeding of the 11th conference of Oriental-COCOSDA, NICT, Kyoto, Japan, November 25-27, pp. 225–229 (2008)

    Google Scholar 

  4. Huang, J., Holt, L.L.: General Perceptual Contributions to Lexical tone normalization. J. Acoust. Soc. Am. 125(6) (June 2009)

    Google Scholar 

  5. Zhang, S., Huang, T., Xu, B.: Tone Modeling for Contious Mandarin Speech Recognition. International Journel Of Speech Technology 7, 115–128 (2004)

    Article  Google Scholar 

  6. Myanmar Language Committee, “Myanmar Grammar”, Myanmar Language Committee, Ministry of Education, Myanmar (2005)

    Google Scholar 

  7. Thein Tun, U.: Some acoustic properties of tones in Burmese. In: Bradley, D. (ed.) Papers in South – East Asian Linguistics8: Tonation Canberra: Australian National University, pp. 77–116 (1982)

    Google Scholar 

  8. Wheatley, J.K.: Burmese. In: Cormier, B. (ed.) The World’s Major Languages, pp. 834–845. Oxford University Press, New York

    Google Scholar 

  9. Do, T.T., Takara, T.: Vietnamese Text-To-Speech system with precise tone generation. Acoust. Sci. & Tech. 25(5), 347–353 (2004)

    Article  Google Scholar 

  10. Noll, A.M.: Cepstrum Pitch Determination. Journal of the Acoustical Society of America 41(2), 293–309 (1967)

    Article  Google Scholar 

  11. Furui, S.: Digital Speech Processing, Synthesis, and Recognition, 2nd edn., pp. 30–31. Marcel Dekker, Inc., New York (2001)

    Google Scholar 

  12. Imai, S.: Log Magnitude Approximation (LMA) Filter. Trans. IECE Jpn. J63-A, 886–893 (1980)

    Google Scholar 

  13. Xia, Y., Wang, J.: A General Methology for Desiging Globally Convergent Optimization Neural Networks. IEEE Transactions on Neural Networks 9(6) (November 1998)

    Google Scholar 

  14. Deng, L., Shaughnessy, D.O.: Speech Processing A dynamic and Optimization-Oriented Approach. Marcel Dekker, Inc., New York (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Win, k.Y., Takara, T. (2010). An Optimization of Fundamental Frequency and Length of Syllables for Rule-Based Speech Synthesis. In: Kim, Th., Lee, Yh., Kang, BH., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2010. Lecture Notes in Computer Science, vol 6485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17569-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17569-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17568-8

  • Online ISBN: 978-3-642-17569-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics