dc.contributor.advisor |
|
|
dc.contributor.author |
Eardley, Trevor |
|
dc.date.accessioned |
2019-03-04T11:29:18Z |
|
dc.date.available |
2019-03-04T11:29:18Z |
|
dc.date.issued |
2018 |
|
dc.identifier.citation |
Eardley, T. (2018) Music melody generator for lyrical input “MELODICA”. BSc. Dissertation. Informatics Institute of Technology |
en_US |
dc.identifier.other |
2014196 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/166 |
|
dc.description.abstract |
The melody of song is the initial state of developing a song and then the composer starts to
develop chords and accompaniment to convert that’s melody into a song. This process is
normally reserved for people who has proper knowledge in harmony and musical structure.
The melodies are often constructed with the help of musical instruments and chords built to
accompany the melody. Other hand, people without the knowledge of musical structure and
harmony cannot develop and test the musical idea they have in mind. This project will
introduce a system that automatically generate chords(melody) to accompany the lyrics. A user
with no experience in music can create a song just by writing into the system and can
experiment with different styles and chord patterns without any knowledge of music, using
interactions designed to be intuitive to non-musicians. Some systems do take in the input for
this solution via the tone of sounds more elaborately the input will be said in actual human
voice is sung to a recording device and it will be processed to a matching musical melody to
accompany the words said by adjusting and analyzing the vocal input recorded.
It is important to note that there is not a single correct accompaniment for a particular melody,
chord selection will vary among musicians and genres, and a single musician may recognize
many appropriate chord sequences for a single melody. Therefore, the goal of this project is
not to predict the “correct” chords for a given melody, but to produce subjectively appropriate
chords that are intuitive to a non-musically-trained user. So as per the business viability there
is a good opportunity that the solution provided in this document will succeed with in the music
artist and enthusiastic in music in more productive way. |
en_US |
dc.subject |
Chord Progression. |
en_US |
dc.subject |
Natural Language Processing |
en_US |
dc.subject |
Sentiment Analysis |
en_US |
dc.title |
Music melody generator for lyrical input “MELODICA” |
en_US |
dc.type |
Thesis |
en_US |