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Over time, changes have occurred within science, technology, and the aesthetic level of the public . An evolution is also taking place in the requirements surrounding aesthetic education. In recent years, music reality shows like The Voice of China and Mask Singer boast the highest ratings in their broadcast period. These programs are closely related to music, demonstrating the broad prospects and significance of the vocal performance major in colleges and universities (Hu, 2022).
Regarding vocal performance teaching in colleges and universities, it is difficult to achieve the desired teaching quality and effect solely through teacher-student classroom interaction and students’ autonomous after-class learning time (Jin-ping et al., 2012). The teaching modes related to vocal performance have witnessed significant changes with the integration of digital multimedia technologies (Liu, 2022). Deep integration, for example, applies various forms of multimedia technology to vocal music, including music analysis, music education, music score following, sound mixing, vocal performance robot, deep learning, and picture and video soundtrack.
The practical application of technologies has enhanced the development of vocal music education in colleges and universities (Liu, 2021). For instance, multimodal teaching integrates multiple symbolic modes (e.g., images, video, and language text) into teaching activities. These tools can encourage students to participate in the learning process. The popularization and improvement of multimedia teaching equipment in colleges and universities provides convenient conditions for the introduction of mobile multimodal teaching into vocal music teaching in colleges and universities.
Much of the existing research focuses on how to apply multimedia technology to the vocal music teaching mode in colleges and universities. Few studies analyze the multimedia feature extraction technology of vocal music teaching mode in colleges and universities based on multimodal multimedia information. Therefore, this article proposes an application mode of multimedia feature extraction technology based on image HOG algorithm and Mel spectrum in vocal music performance teaching in colleges and universities.