{"title":"Artificial Intelligence Technology for Python Test Simulation of Oral English Teaching Evaluation","authors":"Yanxiao Jiang","doi":"10.1109/I-SMAC55078.2022.9987280","DOIUrl":null,"url":null,"abstract":"Use human-computer interaction technology to create an environment for oral communication, use APP micro-classes and other forms to provide a micro-learning platform, and integrate technologies such as artificial intelligence into English-speaking teaching, which can enhance oral practice. Embed English spoken in non-English Professional college English classroom teaching activities to stimulate the ability of higher vocational students to learn foreign languages independently is the challenge that higher vocational colleges have to face. This paper studies how to improve the application of listening and speaking skills with the aid of multimedia courseware. The porting of speech recognition technology on the Android platform is realized; finally, the spoken English learning system is an APP application software developed on the Android platform based on the libspeech.so speech recognition library.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC55078.2022.9987280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Use human-computer interaction technology to create an environment for oral communication, use APP micro-classes and other forms to provide a micro-learning platform, and integrate technologies such as artificial intelligence into English-speaking teaching, which can enhance oral practice. Embed English spoken in non-English Professional college English classroom teaching activities to stimulate the ability of higher vocational students to learn foreign languages independently is the challenge that higher vocational colleges have to face. This paper studies how to improve the application of listening and speaking skills with the aid of multimedia courseware. The porting of speech recognition technology on the Android platform is realized; finally, the spoken English learning system is an APP application software developed on the Android platform based on the libspeech.so speech recognition library.