Difference between revisions of "Music Metrics"

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By using an exponential scale for a song's rank rather than a linear scale, I give a more accurate level of appreciation. For example, one song with three stars is better than three songs with one star. Looking at the chart above, a song with 3 stars is worth 4 points, so and equivalence of lesser songs would require either four one-star songs, two two-star songs, or one two-star song and two one-star songs. Since this uses an exponential scale, a ten-star song is equal in value to 512 one-star songs.
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By using an exponential scale for a song's rank rather than a linear scale, I give a more accurate level of appreciation. For example, one song with three stars is better than three songs with one star. Looking at the chart above, a song with 3 stars is worth 4 points, so an equivalence of lesser songs would require either four one-star songs, two two-star songs, or one two-star song and two one-star songs. Since this uses an exponential scale, a ten-star song is equal in value to 512 one-star songs.
  
 
In addition to artist, you can also sort your music library by favorite composer, genre, and theme (assuming you have these tags populated). I also allow grouping on albums, years, and months. When a song has multiple artists, composers, etc., I use a semicolon as a delimiter and parse them out individually to assign proper weight.
 
In addition to artist, you can also sort your music library by favorite composer, genre, and theme (assuming you have these tags populated). I also allow grouping on albums, years, and months. When a song has multiple artists, composers, etc., I use a semicolon as a delimiter and parse them out individually to assign proper weight.

Revision as of 14:34, 21 August 2020

Music Metrics is a computer program I wrote to better quantify my music appreciation. The program requires you to first assign a "RATING" metatag to each song in your library and then assign a value of 1-10. Then, the music file metadata is exported from foobar2000 by m-TAGS into a text file. This file is parsed into a database where various forms of sorting can be made.

The primary sorting system uses a weighted-rank which uses the exponential formula 2^(rating-1), yielding the following scores:

Stars Points
1 1
2 2
3 4
4 8
5 16
6 32
7 64
8 128
9 256
10 512

By using an exponential scale for a song's rank rather than a linear scale, I give a more accurate level of appreciation. For example, one song with three stars is better than three songs with one star. Looking at the chart above, a song with 3 stars is worth 4 points, so an equivalence of lesser songs would require either four one-star songs, two two-star songs, or one two-star song and two one-star songs. Since this uses an exponential scale, a ten-star song is equal in value to 512 one-star songs.

In addition to artist, you can also sort your music library by favorite composer, genre, and theme (assuming you have these tags populated). I also allow grouping on albums, years, and months. When a song has multiple artists, composers, etc., I use a semicolon as a delimiter and parse them out individually to assign proper weight.