中国标准化Issue(8)：241-244,4.DOI:10.3969/j.issn.1002-5944.2024.08.047
基于卷积神经网络的标准课堂教学语音情感优化的方法研究
Research on the Method of Optimizing Speech Emotions in Standardized Classroom Teaching Based on Convolutional Neural Networks
摘要
Abstract
In the era of artificial intelligence,deep learning technology is gradually integrating into various aspects of educational research.Teacher's teaching language is the main method of classroom teaching,and teaching emotions,as the main evaluation method of teaching evaluation,deeply affect the teaching effectiveness of teachers.Based on the convolutional neural network model,teachers'speech emotion recognition is carried out.Using the speech emotion description model and emotional teaching theory as the theoretical foundation,the research path of"database establishment—model construction—practical application"is followed to carry out the research on teachers'standardized classroom teaching speech emotions.A teacher's classroom speech database is established,and a teacher's speech emotion evaluation scale is constructed to restore accurate collection of real classrooms and assist in the efficient implementation of teacher evaluation,by optimizing teachers'teaching speech emotions and empowering teaching improvement.关键词
教师语音情感/卷积神经网络/教学改进/深度学习Key words
teacher's speech emotions/convolutional neural network/teaching improvement/deep learning引用本文复制引用
邓帅,吴筝..基于卷积神经网络的标准课堂教学语音情感优化的方法研究[J].中国标准化,2024,(8):241-244,4.
