A Hands-On Guide to Automatic Music Generation using RNN

The audio data is also sequential data where it can be considered as a signal which has modulation with time similarly to the time series data where data points are collected in a  sequence with time values
Machine learning is now being used for many interesting applications in a variety of fields. Music generation is one of the interesting applications of machine learning. As music itself is sequential data, it can be modelled using a sequential machine learning model such as the recurrent neural network. This modelling can help in learning the music sequence and generating the sequence of music data. In this article, we are going to discuss how we can use neural networks, specifically recurrent neural networks for automatic music generation. The major points to be discussed in this article are listed below. Table of Contents Understanding a Music FileAbout Recurrent Neural Network (RNN)Why Music File with RNN?Implementation in Python Understanding a Music File In a programming c
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Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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