MellisAI - An AI Generated Music Composer Using RNN-LSTMs
N. Hari Kumar, Peter Ashwin, Haritha Ananthakrishnan · International Journal of Machine Learning and Computing · 2020
The art of composing music can be automated with deep learning along with the knowledge of a few implicit heuristics.In this proposed paper, we aim at building a model that composes Carnatic oriented contemporary tune, that is based on the features of given training song.It implements the task of automated musical composition using a pipeline where various key features of the resultant tune are constructed separately step by step and finally combined into a complete piece.LSTM models were used for creating four different modules namely, the Tune module, the Motif module, the Endnote module, and the Gamaka module.Four models were built namely -Motif, Tune, End Note, and Gamaka whose training accuracy was 86%, 98%, 60%, and 72% respectively.Our work focuses primarily on generating a user friendly Carnatic music composer that accepts the initial user phrase to compose a simultaneous sequence of notes and motifs for the required duration.