Physiological Mandarin Speech Corpus for the International Preparatory Students in China: Design and Initial Application

Article Preview

Abstract:

In order to visualize pronunciation teaching and explore the law of articulation evolution in TCFL (Teaching Chinese as a Foreign Language), we proposed an approach to design a physiology Mandarin speech corpus for the international preparatory students in China. Preparatory students are usually beginners to learn Mandarin, so they are selected as testers to gain the most real law of Mandarin articulation evolution. The corpus was different from an ordinary speech corpus. It consisted of not only text information (such as age, gender, nationality, mother language, Mandarin learning experience, etc.) and audio information, but also the physiological data (such as speech organs’ moving morphology). When the corpus was constructed, data were gathered by a supersonic collecting system because of its safety and low cost. In the initial experiment, 21 initial consonants, 36 simple or compound vowels and tones were tested. The results showed the corpus was significant in Mandarin teaching.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

5336-5340

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhuang mu-qi, Bu You-hong. Research of phonetic teaching and visualization [J]. E-Education Research, 2011, (2): 92-98.

Google Scholar

[2] Lv Jun, Cao Xiao-ying, Design and Implementation of Automatic Chinese Speech Scoring System Based on Speech Recognition [J]. Computer Engineering and Design, 2007, (5): 1232-1235.

Google Scholar

[3] A. Kilgarriff and G. Grefenstette, Introduction to the Special Issue on the Web as Corpus, , Comput. Linguist. , vol. 29, no. 3, pp.333-347, Sep. (2003).

DOI: 10.1162/089120103322711569

Google Scholar

[4] Wei Jian-guo, A model-based learning process for modeling coarticulation of human speech, IEICE Transactions on Information and Systems IEICE Trans. Inf. & Syst. No. 10, pp.1581-1591, (2007).

DOI: 10.1093/ietisy/e90-d.10.1582

Google Scholar

[5] Hu A-xu, CHEN Gui-ping, YU Hong-zhi. Application of Multimodal Phonetics Lab in Language Studies [J]. Journal of Northwest University for Nationalities(Natural Science), 2012, (3): 12-17.

Google Scholar

[6] Demenko,G. (Dept. of Phonetics, Adam Mickiewicz Univ, Poznan, Poland); Wagner,A.; Cylwik, N. The Use of Speech Technology in Foreign Language Pronunciation. Training Archives of Acoustics, v 35, n 3, pp.309-29, (2010).

DOI: 10.2478/v10168-010-0027-z

Google Scholar