  Realistic music generation has always remained as a challenging problem as it
may lack structure or rationality. In this work, we propose a deep learning
based music generation method in order to produce old style music particularly
JAZZ with rehashed melodic structures utilizing a Bi-directional Long Short
Term Memory (Bi-LSTM) Neural Network with Attention. Owing to the success in
modelling long-term temporal dependencies in sequential data and its success in
case of videos, Bi-LSTMs with attention serve as the natural choice and early
utilization in music generation. We validate in our experiments that Bi-LSTMs
with attention are able to preserve the richness and technical nuances of the
music performed.
