Geodesic
An intelligent system of analysis of intonation structures: application in teaching the Russian language to the Chinese language native speakers
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 7 (2018) no. 4, pp. 105-121

Voir la notice de l'article provenant de la source Math-Net.Ru

This paper describes the development of a program for analysis of intoning of verbal pieces in the Russian language. The goal is to measure the differences between the intoning of verbal pieces by both native and international Russian language speakers. The research methodology is based on the application of neural network analysis for solving the task of identification of speech samples, obtained by recording inophones’ speech. The experiment was carried out with the participation of 12 people: native speakers of the Russian language and the Chinese language, both male and female, aged from 20 to 35. A total number of speech samples amounted to 4800 items. Overall, 10 speech items in declarative and interrogative intonation were analyzed. A neural network that provides an assessment of correspondence of a speech sample to the standard variant of intoning was formed and trained. The results of experimental research are presented in the form of statistical assessments of pronouncing the verbal pieces with various intonations. These results are recommended to be applied in the process of learning Russian as a foreign language: the obtained data are considered as the confidence threshold of intoning identification, which complies with the standard or deviates from it. The results can also be applied for the individualized automated compilation of recommendations on correction of mistakes.
Keywords: cepstral analysis, neural network, intoning component. 
@article{VYURV_2018_7_4_a6,
     author = {Ya. L. Beresovskaya and T. D. Isupova and D. A. Katsay and O. I. Sharafutdinova and L. I. Shestakova and O. B. Elagina},
     title = {An intelligent system of analysis of intonation structures: application in teaching the {Russian} language to the {Chinese} language native speakers},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a Vy\v{c}islitelʹna\^a matematika i informatika},
     pages = {105--121},
     publisher = {mathdoc},
     volume = {7},
     number = {4},
     year = {2018},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/VYURV_2018_7_4_a6/}
}
TY  - JOUR
AU  - Ya. L. Beresovskaya
AU  - T. D. Isupova
AU  - D. A. Katsay
AU  - O. I. Sharafutdinova
AU  - L. I. Shestakova
AU  - O. B. Elagina
TI  - An intelligent system of analysis of intonation structures: application in teaching the Russian language to the Chinese language native speakers
JO  - Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika
PY  - 2018
SP  - 105
EP  - 121
VL  - 7
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VYURV_2018_7_4_a6/
LA  - en
ID  - VYURV_2018_7_4_a6
ER  - 
%0 Journal Article
%A Ya. L. Beresovskaya
%A T. D. Isupova
%A D. A. Katsay
%A O. I. Sharafutdinova
%A L. I. Shestakova
%A O. B. Elagina
%T An intelligent system of analysis of intonation structures: application in teaching the Russian language to the Chinese language native speakers
%J Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika
%D 2018
%P 105-121
%V 7
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VYURV_2018_7_4_a6/
%G en
%F VYURV_2018_7_4_a6
Ya. L. Beresovskaya; T. D. Isupova; D. A. Katsay; O. I. Sharafutdinova; L. I. Shestakova; O. B. Elagina. An intelligent system of analysis of intonation structures: application in teaching the Russian language to the Chinese language native speakers. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 7 (2018) no. 4, pp. 105-121. http://geodesic.mathdoc.fr/item/VYURV_2018_7_4_a6/