Music is the most convenient and easy-to-use stress release tool in modern times.Many studies have shown that listening to appropriate music can release stress.However, since it is getting easier to make music, people only need to make it on the computer and upload it to streaming media such as Youtube, Spotify, or Beatport at any time, which makes it very infeasible to search a huge Grille Guard music database for music of a specific genre.
In order to effectively search for specific types of music, we propose a novel method based on the visual Mel spectrum for music genre classification, and apply YOLOv4 as our neural network architecture.mAP was BETA-SITOSTEROL W FISH OIL used as the scoring criterion of music genre classification in this study.After ten experiments, we obtained a highest mAP of 99.
26%, and the average mAP was 97.93%.