A trained model for Music Genre Classification
See original GitHub issueIs your feature request related to a problem? Please describe. A pre-trained model for music genre classification is not tough to find. A good model for music genre classification is like a needle in haystack.
Describe the solution you’d like
After working on Music classification for more than a year, I believe I can come up with a really good model. I will be using Benchmark dataset, GTZAN
, Emotify
for example, Python offers TF, Keras and most importantly pyaudioanalysis
so i think Python is the best choice.
Describe alternatives you’ve considered
There are multiple models available, but either they are now old, they are using old algos like SVM
, or old variants of Neighbours.
Additional context
Issue Analytics
- State:
- Created 3 years ago
- Comments:8 (2 by maintainers)
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Yeah. Please go ahead!
Regarding the Model Size, you can upload it on a Google Drive and reference it there just for sake of it.
@HarshCasper So I was just going to make a PR, but just one doubt, I don’t want to upload a heavy well-trained model for the sake of the size of Repo, all I want to do is upload the most basic implementation of Deep learning for Music classification. I can explain steps in README that will give an idea to make it more efficient, but am I allowed to link my own REPOSITORY in the README, if people are interested in a more complex implementation, like combining classifiers, multi-depth classification, ML approach, AI approach and the theory involved, my Repo has it all
I am opening a DRAFT pr as of now, kindly solve my dilemma and I will do the needful.
P.S. - Don’t worry about the code I will upload, it’s not that bad XD. It is actually far better than my first ever successful implementation and is one of the simpler version of a script that i am trying to get Published.