@article{MAKHILLJEAS2020151219342,
    title = {A Experiment of Reccurent Neural Network Methods for Generating a Music},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {12},
    pages = {2619-2622},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2619.2622},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2619.2622},
    author = {Dimas,Tito and},
    keywords = {Music Generation,Recurrent Neural Network (RNN),Python,music,MIDI},
    abstract = {Music is a composed sound so that it contains
rhythm, song and harmony. Every music has different
chord provisions and arrangements which makes making
music difficult. Based on these problems, a solution was
made in the form of Music Generation with the Recurrent
Neural Network (RNN) method to facilitate the making of
a music. Recurrent Neural Network (RNN) is a class of
artificial neural networks where the connection between
nodes forms a directed graph along the sequence. This
allows it to show temporary dynamic behavior for a time
sequence. The data used is in the form of a Musical
Instrument Digital Interface (MIDI) format file with
sufficient amounts. The system will produce a midi file
that has undergone the process of making chords and
merging randomly, so that, it becomes a new music. Then
implemented in Python. The output in this system
produces a music that allows it to be processed again in
the Digital Audio Workstation (DAW) to produce the
desired music.}
    }