Research On The Construction Of Bilingual Speech Assisted Learning System For Minority Students Based On Speech Recognition Technology

China is a multi-ethnic country,and ethnic education is the internal source of the development of national cultural soft power and an important way to inherit and carry forward the minority cultures.Since the founding of New China 71 years ago,the ethnic education of China has also developed and achieved remarkable results with the care and support of the party and the government.However,due to the unbalanced development of regional differences,there are still some problems in some ethnic minority areas,such as the shortage of teachers in ethnic language,the inability of bilingual teaching,the imperfect information construction and so on.For example,minority nationality students cannot understand what the teacher taught in the classroom,and teachers cannot provide timely after-school guidance for each student under the limited energy.In addition,according to the survey of ethnic minority students finishing their homework,it is learned that they cannot be provided good after-school guidance because of the work and knowledge of their parents.As a result,ethnic minority students have difficulties in learning and finishing homework after class.However,the emergence of bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology solves these problems to a large extent.The use of bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology can effectively solve their language communication barriers,help them better understand knowledge and complete homework.At the same time,the system can effectively break the limitation of time and space,and provide opportunities for ethnic minority students to conduct individual autonomous learning.The purpose of the paper is to build a bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology.The paper first analyzes the necessity of building a bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology using methods of literature research,field survey,questionnaire survey,interview and so on.Then,based on the detailed analysis of the development,current research,relevant concepts and educational theory of voice recognition technology and bilingual voice-assisted learning system,this paper analyzes the needs,overall design and detailed design of the bilingual voiceassisted learning system for ethnic minority students based on voice recognition technology,and carries out the construction and design of knowledge base according to the selected primary school knowledge.Finally,a certain number of ethnic minority students are selected to try out the system,and then the validity of the system,the rationality of the system knowledge base and the feasibility of the promotion of ethnic minority areas are understood through the questionnaire survey.The bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology can not only help these students to understand the knowledge points,but also help them to conduct individual autonomous learning after class.This not only cultivates independent learning ability and mobilizes independent innovation of students,but also improves their comprehensive quality.Because the use of bilingual voice-assisted learning system based on voice recognition technology for ethnic minorities can fully reflect the main role of students,give full play to their initiative,cultivate their personalized learning ability,and improve their ability to find and solve problems.The bilingual voice-assisted learning system based on voice recognition technology is of great significance in assisting learning for ethnic minority students.In addition,the realization of bilingual voice-assisted learning system for ethnic minority students based on voice recognition technology has certain reference significance for the integration of "Artificial Intelligence + Education".