MUSIC GENERATION USING NEURAL NETWORK

Abstract

This study investigates the utilization of recurrent neural networks (RNNs) for generating music through MIDI files. By encoding musical data into sequences, RNN models are trained to learn patterns and structures inherent in compositions. Through the analysis of MIDI data and the evaluation of generated sequences, the effectiveness of RNNs in autonomously creating cohesive musical pieces is explored, advancing the frontier of AI-driven musical composition. Keywords—Music Generation, Long Short-Term Memory, Recurrent Neural Network, MIDI data .