Research Program Overview
It covers different approaches to create more efficient algorithms...


1  Music is a secret by itself...
2  Non-musical approach to the music...
3  When one song sounds in two or more completely different ways...
4  Maybe not too scientifically but the rainbow "sounds" too musically...
5  Music is numbers and numbers are music...
6  When one song becomes another by coding "regular" notes in...
7  Sound effects are music?...
8  Listen your favorite picture...
9...
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When we started with a project, the first step has been in analyzing the more possible midi files available on net (songs of any genre: classic, rock, folk/ethnic...). Because of its properties, midi file is the simple way to analyzing the song scores.
Therefore, it was necessary to create an aid software that we named "Groupie".

What we are searching for?
In the first-order researching phase, our little-big-helper "Groupie" is testing more then 4.000 midi files.
As our engine of software diversity, for research and development we are analyzing those midi files on two complementary approaches: deduction and induction.
From all these files, we took in consideration only a main instrument (piano, lead guitar, 1st violin...all depending on file/song).
Our intention was to identify and find much more of already existing universal length-limited strings.
Then, we are trying to create the minimum of universal ways (algorithms) to make them in reversed way.

The target of this analyzing can be divided in four parts:

1. Frequency of identical strings/groups of notes:
a- identical strings/groups of 3, 4 & 5 notes regarding to both: pitches as well as its durations
b- identical strings/groups of 4, 5 & 6 notes regarding to pitches only without regarding to its duration (s)
c- identical strings/groups of 5, 6 & 7 notes regarding to durations only without regarding to its pitch (s)

2. Frequency of value (index/position) of the next note/pitch.
Note example: C from C major scale (basic index=0)
Notes:         D  E   F  G  A  B  C   D   E   F    G   A   B
Values +/-: -6 -5 -4 -3 -2 -1  0 +1 +2 +3 +4 +5 +6

3. Frequency/participation of notes from appropriate e.g. C major scale's chord.
Regular chord example: C chord from C major scale contains C, E, G;

4. Frequency/participation of notes from inappropriate e.g. C major scale's chord.
Irregular chord example: G chord from G major scale contains G, B, D (notes in C major scale too);

Then, in the second-order researching phase, we are testing results by comparing examples of these algorithms and already existing examples from a first-order phase.

Without regard to how much it sounds absurdly and unreasonably - and too mathematically - the results are real, very musically and - most important - completely new.

 

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