Difference between revisions of "Music Metrics"
(Created page with "'''''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 you...") |
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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, ten songs with 1 star are not as good as 1 song with ten stars, but in my scale, you would need 512 songs with 1 star to equal 1 song with ten stars. | 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, ten songs with 1 star are not as good as 1 song with ten stars, but in my scale, you would need 512 songs with 1 star to equal 1 song with ten stars. | ||
| − | In addition to artist, you can also sort your music library by favorite composer, genre, and theme. 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 13:54, 26 September 2017
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 1-10 rating. Then, the music file metadata is exported from foobar2000 by m-TAGS into a text file. This file is parsed out and various forms of sorting can be made.
The primary sorting system uses a weighted-rank which uses the exponential formula 2^(rating-1), which yields 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, ten songs with 1 star are not as good as 1 song with ten stars, but in my scale, you would need 512 songs with 1 star to equal 1 song with ten stars.
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.
