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niebielistki-and-mil0sc / electronic-music-genre-analysis

Classify electronic music genres with precision using our AI-driven tool, leveraging advanced machine learning and DSP techniques.
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Error: [Errno 2] No such file or directory: '/electronic-music-genre-analysis/myapp/analysis/models/trained_model.pth' #1

Closed i-oliva closed 5 months ago

i-oliva commented 5 months ago

Got this error at the beginning, seems like I had to train the model first :D

Super cool project, going to try different songs and return results :heart:

This will help me a lot trying to set my music library by subgenres, thank you :heart:

i-oliva commented 5 months ago

There are some interesting results, e.g.

https://youtu.be/eltVXNQtFS4

returns

Funk 71.40% Oldskool Rave Hardcore 14.24% Italo Disco 14.11%

i-oliva commented 5 months ago

https://www.youtube.com/watch?v=KNz01ty-kTQ

returns Italo Disco 47.90% Funk 24.30% Oldskool Rave Hardcore 24.22%

:DD