A Musical Composition Assistant System using LSTM

Abstract

: Universally, music is one of the elements that create harmony in this world. Traditionally playing music or creating it has always been seen as a manual task. Music can be created with the help of instruments, voices and sounds. In the Modern Era of technology and AI, we can automate this process. For this, we must understand the basic structure of how music forms and view it scientifically. For the proposed system, we are using RNN-LSTM algorithm to generate music from given sample inputs. A Musical Composition Assistant System (MCAS) involves transformation of music scores into time series representation, encoding the music. A model is designed to execute this algorithm where data is represented with the help of musical instrument digital interface (MIDI) file format for easier access and better understanding. Pre-processing of data before feeding it into the model, revealing methods to read, process and prepare MIDI files for input are used. This system creates good music pieces in MIDI format with given input. The proposed system uses Flask API to interact with the frontend