%0 Journal Article
%T Research on Automatic Speech Analysis for Teacher¡¯s Q&A in Classroom
%J -
%D 2017
%X Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from ¡°CCTV network Chinese public class¡±, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.
%K Classroom Evaluation
%K Interaction Among a Teacher and Students
%K Logistic Regression Model
%K Speaker Recognition
%U http://www.sciencepublishinggroup.com/journal/paperinfo?journalid=180&doi=10.11648/j.si.20170503.14