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一种语音识别的智能学习助手系统设计
引用本文:朱耘葶.一种语音识别的智能学习助手系统设计[J].电子测试,2019(16):22-26.
作者姓名:朱耘葶
作者单位:龙口第一中学,山东烟台,265700
摘    要:针对目前学生在课堂上听讲和记笔记不能很好地切换,课外不能有效率的查漏补缺等问题,研究设计了一种基于语音识别的智能学习助手系统,该学习助手可以通过自动做笔记解放学生的双手,使学生更专注于听讲,并且在课下为学生推荐题目查漏补缺,提高学生的学习效率。自动笔记功能主要通过语音识别的方法将老师课堂上的讲授转化为文本,并且通过自动摘要技术提取重点。题目推荐功能通过基于认知诊断的协同过滤,既考虑到学生个体的独特性,也考虑到学生群体的共性,为学生推荐合适的题目。

关 键 词:语音识别  自动摘要  协同过滤  认知诊断  智能课堂  个性化学习

A Intelligent learning assistant system based on Speech recognition
Zhu Yunting.A Intelligent learning assistant system based on Speech recognition[J].Electronic Test,2019(16):22-26.
Authors:Zhu Yunting
Affiliation:(Longkou No.1 Senior High School,Yantai Shandong,265700)
Abstract:In view of the time consuming and easy to make mistakes in taking notes in class,students often miss the key content in class because of taking notes.Therefore,an intelligent learning assistant system based on speech recognition technology was proposed.Through voice recognition technology of automatic recognition of teachers in the classroom content,combined with xunfei open platform development API service automatic recognition and speech recognition algorithm of note-taking,at the same time to take notes for automatic identification and records,as well as the test question proactively identify and recommend,to realize the automation and intelligent of the notes in class notes,greatly improving the students’learning efficiency,the concrete application of popularizing space.
Keywords:Speech Recognition  Automatic Summary  Collaborative Filtering  Cognitive Diagnosis  Intelligent Classroom  Individualized Learning
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