Intelligent Voice Instructor-Assistant System for Collaborative and Interactive Classes  

作　　者：Matthew Baker Xiaohui Hu Gennaro De Luca and Yinong Chen 

机构地区：[1]School of Computing,Informatics and Decision Systems Engineering,Arizona State University,Tempe,AZ 85281 USA [2]School of Physics and Telecommunication Engineering,South China Normal University,Guangzhou,Guangdong 510006 China [3]Polytechnic School,Arizona State University,Mesa,AZ 85212 USA

出　　处：《Journal of Artificial Intelligence and Technology》2021年第2期121-130,共10页人工智能技术学报（英文）

基　　金：The authors wish to thank their colleagues and students who were involved in this study and provided valuable implementation and technical support.The research is partly supported by general funding at IoT and Robotics Education Lab and FURI program at Arizona State University and is partly supported by China Scholarship Council,Guangdong Science and Technology Department,under Grant Number 2016A010101020,2016A010101021,and 2016A010101022;Guangzhou Science and Information Bureau under Grant Number 201802010033.

摘　　要：College classes are becoming increasingly large.A critical component in scaling class size is the collaboration and interactions among instructors,teaching assistants,and students.We develop a prototype of an intelligent voice instructorassistant system for supporting large classes,in which Amazon Web Services,Alexa Voice Services,and self-developed services are used.It uses a scraping service for reading the questions and answers from the past and current course discussion boards,organizes the questions in JavaScript object notation format,and stores them in the database,which can be accessed by Amazon web services Alexa skills.When a voice question from a student comes,Alexa is used for translating the voice sentence into texts.Then,Siamese deep long short-term memory model is introduced to calculate the similarity between the question asked and the questions in the database to find the best-matched answer.Questions with no match will be sent to the instructor,and instructor’s answer will be added into the database.Experiments show that the implemented model achieves promising results that can lead to a practical system.Intelligent voice instructor-assistant system starts with a small set of questions.It can grow through learning and improving when more and more questions are asked and answered.

关 键 词：natural language processing voice processing machine learning Long short-term memory(LSTM)network questions and answers 

分 类 号：H31[语言文字—英语]