Skip to main content

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 331))

  • 2134 Accesses

Abstract

Tone is a distinctive feature in Mandarin. This paper describes an attempt to automate the tone evaluation for continuous Mandarin speech. An HMM forced alignment based tone model is used to get tone score for Mandarin syllables. The competing model based approach is introduced to get tonal syllable score. Especially, we generate the syllable-based competing models by using the simplified linguistic knowledge based initial/final net. For the purpose of getting more objective tone evaluation, we integrate tonal syllable score and tone score together to acquire the overall tone scoring results. The experimental results demonstrate that this proposed competing models based method gives an accurate tone evaluation.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Molina, C., Yoma, N.B., et al.: ASR Based Pronunciation Evaluation with Automatically Generated Competing Vocabulary and Classifier Fusion. Speech Communication 51(6), 485–498 (2009)

    Article  Google Scholar 

  2. Nair, N.U., Sreenivas, T.V.: Joint Evaluation of Multiple Speech Patterns for Speech Recognition and Training. Computer Speech and Language 24(2), 307–340 (2010)

    Article  Google Scholar 

  3. Ni, C.J., Liu, W.J., et al.: Prosody Dependent Mandarin Speech Recognition. In: IJCNN, San Jose, CA, pp. 197–201 (2011)

    Google Scholar 

  4. Lin, C.K., Lee, L.S.: Improved Features and Models for Detecting Edit Disfluencies in Transcribing Spontaneous Mandarin Speech. IEEE Trans. Audio, Speech, Lang. Process. 17(7), 1263–1278 (2009)

    Article  Google Scholar 

  5. Zhu, M., Fu, Q.J., et al.: Mandarin Chinese Speech Recognition by Pediatric Cochlear Implant Users. Int. J. Pediatr. Otorhi. 75(6), 793–800 (2011)

    Article  MathSciNet  Google Scholar 

  6. Chen, J.C., Jang, J.S.R.: Automatic Pronunciation Assessment for Mandarin Chinese: Approaches and System Overview. IJCLCLP 12(4), 443–458 (2007)

    Google Scholar 

  7. Liu, J., Zheng, T.F., Deng, J., et al.: Real-time Pitch Tracking Based on Combined Smdsf. In: Proc. INTERSPEECH, Lisbon, Portugal (2005)

    Google Scholar 

  8. Zu, Y.Q.: The Text Design for Continuous Speech Database of Standard Chinese. Acta Acustica 24(3), 236–247 (1999) (in Chinese)

    Google Scholar 

  9. Cao, Y., Huang, T.Y., et al.: A Stochastically-based Study on Chinese Tone Patterns in Continuous Speech. Acta Automatic Sinica 30(2), 191–198 (2004) (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Qu, Y., Lu, Y., Wang, P.S.P., He, X. (2012). Competing Model Based Tone Evaluation for Mandarin Speech. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34595-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34594-4

  • Online ISBN: 978-3-642-34595-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics