Exploration of Multimodal Teaching Methods in Emotionally Empowered Music Education

Multimodal as a new teaching concept and mode, applied to musicology professional education is still in the primary stage of development, still lacks a more perfect teaching system. This paper categorizes students’ music learning types based on the modal types of sensory channels under multimodal teaching. The intelligent whiteboard technology is proposed to integrate the multimodal teaching technology. In the research of audio emotion recognition technology, the sample audio signal is preprocessed and emotional features are extracted in order to get the emotional features of the audio, and the construction of the WLDNN-GAN music emotion recognition model is completed. The emotional feature analysis of 500 music songs of the subjects shows that the emotional color with the largest standard deviation is “music”, with a value of 11.6004, indicating a large degree of dispersion. The multimodal music teaching mode was designed and compared with the traditional music teaching mode to verify the application effect of the multimodal teaching mode. The multimodal teaching mode is basically better than the traditional teaching mode in terms of teaching matching degree, teaching interaction, and teaching effect, and the students’ music classroom performance score is 8.2639 under the multimodal teaching mode, which is much higher than the traditional teaching mode.