Sage Journals: Discover world-class research

Abstract

At present, in the context of the Internet of Things (IoT), more and more teaching institutions have integrated Internet technology into the English network teaching system. Therefore, based on the IoT technology, an English speech recognition algorithm is proposed based on the network teaching system, and develops the function of the network teaching system oriented to English speech intonation. In this paper, the function of the platform and the design of the key modules of the system are proposed in detail. During the operation of the recognition model, the collected speech signals are preprocessed, effective speech feature parameters are extracted, and each frame feature parameter is composed into a vector sequence. The different sequences are classified, and the speech intonation system is developed based on the classification results. Then the improved particle filter algorithm is used to further improve the accuracy and speed of English speech system recognition, and the function of English speech network teaching system is optimized based on this. Experiments show that the excerpts from the China Daily website in the system of this article, most of them can be spliced with word primitives, reaching more than 90% of the total number of words in the measured text, reflecting the system’s higher word and segment coverage and high accuracy. The research in this paper has certain theoretical reference value for the construction and optimization of English phonetic system and the further development and use of IoT technology.

Keywords

IoT English phonetic intonation network teaching system function development

Get full access to this article

View all access options for this article.

References

X.T.R.

Kong ,

G.W.

Chen and

G.Q.

Huang , Ubiquitous auction learning system with TELD (Teaching by Examples and Learning by Doing) approach: A quasi-experimental study, Computers & Education 111(C) (2017), 144–157.

Sharif ,

J.P.

Li and

M.I.

Sharif , Internet of Things network cognition and traffic management system, Cluster Computing 4 (2018), 90–111.

Liu , A practical study on the English pronunciation and intonation contest in college English pronunciation teaching, Foreign Language Learning Theory & Practice 8(12) (2016), 1–9.

Huang and

Liu , An experimental study of the effect of using film clips and pronunciation textbook exercises in english pronunciation teaching, Journal of Guangdong University of Foreign Studies 70(89) (2016), 12–34.

Yuan and

J.I.

Yuhua , A case study on the dynamic development of college students' learning motivation in the English classroom, Foreign Language World 6(12) (2017), 78–85.

Wang , On penetration of phonetic teaching in college english teaching for non-english majors, Journal of Lianyungang Technical College 34(10) (2016), 35–54.

Zhang , Research on influences of cantonese on english pronunciation and intonation study and countermeasures from the perspective of language transfer theory, Journal of Changsha University 4(1) (2017), 102–110.

Gooch ,

Saito and

Lyster , Effects of recasts and prompts on L2 pronunciation development: Teaching English /r/ to Korean adult EFL learners, System 8(6) (2016), 117–127.

C.N.

Huang and

F.L.

Department , The application of poems recitation in english pronunciation teaching in the higher colleges, Journal of Hubei Correspondence University 56(9) (2016), 19–28.

10.

Li , The study of english oral english teaching in the perspective of phonetics, Journal of Jiamusi Vocational Institute 90(56) (2018), 68–80.

11.

J.P.

Rajan and

S.E.

Rajan , An internet of things based physiological signal monitoring and receiving system for virtual enhanced health care network, Technology & Health Care Official Journal of the European Society for Engineering & Medicine 26(2) (2018), 379.

12.

Y.Y.

Deng ,

C.L.

Chen and

W.J.

Tsaur , Internet of things (IoT) based design of a secure and lightweight body area network (BAN) healthcare system, Sensors 17(12) (2017), 2919.

13.

Mehmood ,

Alam and

N.N.

Albogami , UTiLearn: A personalised ubiquitous teaching and learning system for smart societies, IEEE Access 5(99) (2017), 2615–2635.

14.

C.S.

Wu ,

Y.Q.

Shi and

F.H.

Liu , Internet of things intelligent gas meter and control system, Applied Mechanics & Materials 602-605 (2016), 870–873.

15.

Mershad and

Wakim , A learning management system enhanced with internet of things applications, Journal of Education & Learning 7(3) (2018), 23.

16.

M.R.

Salaberry , The use of technology for second language learning and teaching: A retrospective, The Modern Language Journal 85(1) (2001), 39–56.

17.

P.D.

Ware and

Kramsch , Toward an intercultural stance: Teaching German and English through telecollaboration, The Modern Language Journal 89(2) (2005), 190–205.

18.

O.R.E.

Pereira and

J.J.P.C.

Rodrigues , Survey and analysis of current mobile learning applications and technologies, ACM Computing Surveys (CSUR) 46(2) (2013), 27.

19.

D.L.

Huang , Language use in asynchronous computer-mediated communication in Taiwan, Australian Review of Applied Linguistics 32(2) (2009), 12.1–12.22.

20.

S.C.

Herring , Discourse in Web 2.0: Familiar, reconfigured, and emergent, Discourse 2 (2013), 1–25.

The function development of network teaching system to English pronunciation and tone in the background of internet of things

Abstract

Keywords

Get full access to this article

References