THESIS
2016
xvi, 190 pages : illustrations (some color) ; 30 cm
Abstract
Music is a temporal art, which unfolds over time. Unlike painting, which is a spatial art,
can be seen entirely immediately. Because of its temporal nature, music can tell more things
than other arts do. Composer can express his feeling and tell his story through music.
Song is a kind of music that contains lyrics. Song can express more things than a plain music
does. People want to have their own songs for some special events such as congregation and
wedding. Composing a plain music is hard. Composing a song is even harder because of the
presence of the lyrics. People may seek help from computer to compose their own songs. The
study of using computer to compose music is called Algorithmic composition.
There is an algorithmic melody composer called “T-Music”, which mines the co...[
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Music is a temporal art, which unfolds over time. Unlike painting, which is a spatial art,
can be seen entirely immediately. Because of its temporal nature, music can tell more things
than other arts do. Composer can express his feeling and tell his story through music.
Song is a kind of music that contains lyrics. Song can express more things than a plain music
does. People want to have their own songs for some special events such as congregation and
wedding. Composing a plain music is hard. Composing a song is even harder because of the
presence of the lyrics. People may seek help from computer to compose their own songs. The
study of using computer to compose music is called Algorithmic composition.
There is an algorithmic melody composer called “T-Music”, which mines the correlations
between the melody and the lyrics in song database and uses these correlations to generate a
melody for the user-input lyrics. The correlations are represented in frequent patterns (fps).
This thesis studies the ways to enhance T-Music. We have defined a new way of how a
pattern is considered to be frequent. By using the new definition, the fps can represent the correlations more realistic.
The original mining algorithm can only mine the fps from songs. The lyrics must be presence.
Two new algorithms are proposed to mine the fps from plain music.
In other to use the fps mined from songs with lyrics in the language L
1 to compose a melody
with the lyrics in another language L
2, a tone mapping is required from L
2 to L
1. An
optimal mapping algorithm has been proposed so that T-Music can use the fps in L
1 the
best to compose a melody for the user-input lyrics in L
2.
In other to impose genre on the generated melody, the characteristic of different genres have
been studied and are included in T-Music. T-Music can generate a melody for the user-input
lyrics in some particular music genres such as traditional Chinese music and dance music.
A business plan based on T-Music has been included so that the uniqueness and values
of T-Music can be well presented.
In addition, a comprehensive introduction of the background knowledge of music and
language are included so that readers with different backgrounds can understand this thesis
well.
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