Classification of Music Generality using ANN, CNN and RNN-LSTM

Machine learning is a subfield of artificial intelligence (AI) that enables computers and other software to acquire new skills and improve them without being explicitly programmed. The objective is to enhance a Machine Learning (ML) System so that it can recognise different types of music. MIR is now one of the most often used approaches to the problem of deriving useful data from musical recordings (audio signal). In order to recognize a variety of audio samples, we use CNN and RNN. One of the methods of deep learning that has been put to extensive use in the past for the purpose of pattern recognition is presented here. There is a network that is unbiased and central. Even with no prior information, the neutrality core network does offer a lot of potential for capturing the informative properties of the music model variable. We will evaluate how well each model works, and we will keep a record of the findings to determine how accurate our predictions are.