Design Of Color Music System Based On Feature Classification

This article describes a new type of music player device that enables it to conduct in-depth scientific research by classifying the sentiment of music,extracting features,and establishing the correspondence with the colors of the results of the classification.As a medium and medium for the dissemination of information,music has a variety of manifestations and types.Music itself as an aesthetic,a human art is accepted by people;from the perspective of the dissemination of information to understand music,listening to music is a voice-mediated text messaging.With the development of society and the improvement of education,people's aesthetic changes.More and more people choose to listen to music on weekends or at leisure and entertainment.This kind of leisure style is more rhythmical Era,making it easier for people to choose and consume.Color is also a sensory can feel changes.It can make people's emotions in this change have different psychological activities,such as psychologists have shown that: red can stimulate the nervous system,the nervous system in an excited state;yellow can stimulate human brain cells,so that brain cells Active;green can relax the nervous system,relieve blood pressure to decompression effect;purple on the motor nerve,lymphatic and heart system inhibition,people in a mild and quiet effect.The impact of music and color on people is huge,beautiful melody,sweet harmony,regular rhythm and pure white,optimistic golden and so on people's senses have a great stimulating effect.Studies have shown that these physical changes,through the human senses have a huge impact on people,especially human health and psychological changes,as well as emotional changes and so on.With the development of this trend,a variety of music players have appeared to satisfy people's pursuit and love for music.In this thesis,we firstly study the modeling methods of music category and compare them horizontally by using traditional statistical methods or existing methods.Then we plot the results of the statistics,the features of the samples and the categories of music.Then,the collected samples were classified,and the classification algorithm was analyzed,using the model evaluation to evaluate.Through the establishment of a set of musical emotion and color of the corresponding system,the establishment of the hardware environment,including: the motherboard circuit design,U disk module circuit design,decoding module circuit design,RGB-LED mixed light circuit design software and hardware support for music Play system.The work of this thesis has basically completed the division of music categories,the classification and other algorithms for model training and prediction,the correspondence between music and color work to build a complete color music model,experiments show that the proposed method has Higher accuracy.