TY  - JOUR
T1  - A Experiment of Reccurent Neural Network Methods for Generating a Music
AU - Fiqh Puskoaji, Dimas AU - Waluyo Purboyo, Tito AU - Erfa Saputra, Randy 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 12
SP  - 2619
EP  - 2622
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.2619.2622
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.2619.2622
KW  - Music Generation
KW  -Recurrent Neural Network (RNN)
KW  -Python
KW  -music
KW  -MIDI
AB  - 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.
ER  -