Music Feature Extraction And Recommendation Using CNN Algorithm

In this age of technological advancements, it has become considerably easier for an individual to access a variety music from significant number sources. Today, there are multitude songs varying diversity available users. Therefore, becomes difficult users manually discover new that may suit their liking. Thus arises the need system will help streaming applications recommend befit taste, based on some predetermined criteria. With ever-expanding user and song database, must also be dynamic its recommendations up-to-date accurate. is strong demand well-qualified recommendation system. The proposed focuses technical features audio. main purpose systems classify in different genre using Deep Learning Algorithm. There two approaches implementing these system, viz, Feature Extraction Content Based Filtering.