Abstract:
Musical creativity being one of the strong-hold
characteristics that differentiate humans from computers in
today’s technologically advanced society, algorithmic
composition and song writing are the research areas that aim to
bridge this gap. With the introduction and development of
various neural network-based methodologies that have shown
quite a promise in applications to a wide range other fields, it is
promising to see how these new technologies can cater to the
domain of musical creativity. Even though there has been
significant amount of research done focusing on musical
composition, it is not the same for musical song writing. The
main objective of this research study is to apply Long Short-
Term Memory Recurrent Neural Networks in constructing a
machine learning model that can generate musical melody notes
when it is provided with a lyrical input (musical song writing).
In this study, we were able to successfully generate musical
melody notes for provided lyrical inputs with consistencies of
over 80%. In addition to that, a web-based inference tool was
developed as a result of this study, which allows us to easily
generate musical melody sheets when we provide with a lyrical
input.
