fma
mac-miller-lyrics-dataset
| fma | mac-miller-lyrics-dataset | |
|---|---|---|
| 1 | 2 | |
| 2,108 | 2 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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fma
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Analyzing music to determine subgenre?
This dataset seems worth looking into: https://github.com/mdeff/fma. I think you'll have a hard time identifying subgenres since even people don't know what subgenre a song belongs to. It's a very subjective classification compared to distinguishing between main genres; e.g. rock, rap, and country. Also, from my work with the Spotify API, there a lot of seemingly synonymous subgenres which will make this task even more tedious (what is the difference between "pop dance" and "dance pop"?).
mac-miller-lyrics-dataset
What are some alternatives?
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