A Study on Teachers' Classroom Speech Emotion Expression Based on Speech Emotion Recognition

Teacher emotion expression is significant to classroom teaching. In this study, we used deep learning-based speech emotion recognition technology to construct a three-category emotion model (positive, neutral, and negative emotions), and explored the emotion expression characteristics of expert teachers in the teaching process in the lower elementary, upper elementary, junior high, and senior high school levels. By analyzing the voice data of teachers in different sections, the differences and trends of teachers' emotional expressions in different sections are revealed, which provides a scientific basis for optimizing teaching practice and improving teachers' emotional literacy.