Abstract
This paper discusses pronunciation quality scoring for single syllable word in Putonghua Shuiping Ceshi (PSC) that is a nationwide spoken test to evaluate the standard level and the practical ability that an individual uses the mandarin in china. This study mainly includes some algorithms about the syllable separation, acoustic units selection, posterior probability scoring, threshold values setting and neural network combination. Experiment shows that the proposed approach achieves a high correlation of 0.731, a value very close to 0.786 between human experts. It is also observed that the combination method of neural network gets the best evaluation result. This method is eligible for the automatic scoring in PSC.
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
Meng, G.Z., An, Y.H., Zheng, W.F.: The guidebook of Putonghua Shuiping Ceshi. Heilongjian Education Press, Harbin (2001)
Huang, C., Shi, Y., Zhou, J.L., Chu, M., Wang, T., Chang, E.: Segmental tonal modeling for phone set design in Mandarin LVCSR. In: Proc. ICASSP 2004, pp. 901–904 (2004)
Zheng, J., Huang, C., Chu, M., Soong, F.K., Ye, W.: Generalized Segment Posterior Probability for Automatic Mandarin Pronunciation Evaluation. In: Proc. ICASSP 2007, pp. IV201–IV204 (2007)
Witt, S.M.: Use of Speech recognition in Computer assisted Language Learning. PhD Thesis, University of Cambridge (1999)
Franco, H., Neumeyer, L., et al.: Automatic pronunciation Scoring for Language Instruction. In: Proc. ICASSP 1997, pp. 1471–1474 (1997)
Neumeyer, L., Franco, H.: Automatic Scoring of Pronunciation Quality. Speech Communication 30, 83–93 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Zhang, L., Li, H., Wang, J. (2012). Pronunciation Quality Scoring for Single Syllable Word in PSC. In: Luo, J. (eds) Affective Computing and Intelligent Interaction. Advances in Intelligent and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27866-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-27866-2_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27865-5
Online ISBN: 978-3-642-27866-2
eBook Packages: EngineeringEngineering (R0)