Skip to main content

Predicting Prosody from Text

  • Conference paper
Chinese Spoken Language Processing (ISCSLP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4274))

Included in the following conference series:

Abstract

In order to improve unlimited TTS, a framework to organize the multiple perceived units into discourse is proposed in [1]. To make an unlimited TTS system, we must transform the original text to the text with corresponding boundary breaks. So we describe how we predicate prosody from Text in this paper. We use the corpora with boundary breaks which follow the prosody framework. Then we use the lexical and syntactic information to predict prosody from text. The result shows that the weighted precision in our model is better than some speakers. We have shown our model can predict a reasonable prosody form text.

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. Tseng, C.-y., Pin, S.-h., Lee, Y.-l., Wang, H.-m., Chen, Y.-c.: Fluent speech prosody: framework and modeling. Speech Communication 46(3-4) (July 2005); Special Issue on Quantitative Prosody Modelling for Natural Speech Description and Generation, 284–309

    Google Scholar 

  2. Tseng, C.-y., Cheng, Y.-C., Chang, C.-H.: Sinica COSPRO and Toolkit—Corpora and Platform of Mandarin Chinese Fluent Speech. In: Proceedings of Oriental COCOSDA 2005, Jakarata, Indonesia, December 6-8, pp. 23–28 (2005)

    Google Scholar 

  3. Sinica COSPRO and Toolkit: http://www.myet.com/COSPRO/

  4. Peng, H., Chen, C., Tseng, C., Chen, K.: Predicting Prosodic Words From Lexical Words–A First Step Towards Predicting Prosody From Text. In: International Symposium on Chinese Spoken Language Processing, ISCSLP (2004)

    Google Scholar 

  5. Hsieh, Y.-M., Yang, D.-C., Chen, K.-J.: Linguistically-motivated grammar extraction, generalization and adaptation. In: Proceedings of the Second International Join Conference on Natural Language Processing, Jeju Island, Republic of Korea, pp. 177–187 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, KJ., Tseng, Cy., Tai, Ch. (2006). Predicting Prosody from Text. In: Huo, Q., Ma, B., Chng, ES., Li, H. (eds) Chinese Spoken Language Processing. ISCSLP 2006. Lecture Notes in Computer Science(), vol 4274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11939993_22

Download citation

  • DOI: https://doi.org/10.1007/11939993_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49665-6

  • Online ISBN: 978-3-540-49666-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics