Help in mini project

Question

How would i start my project on ' automatic music genre classification ' in python

Answer 1

Alright, so here’s how you can dive into this music genre classification thing:

First off, get your stuff ready. You’ll need some libraries. Just make sure you have numpy, pandas, scikit-learn, librosa, and tensorflow. You know, the usual suspects for any data project.

Next up, find a dataset. GTZAN is a classic, or you could check out FMA. They’ve got a bunch of tracks in different genres. Perfect for what you’re trying to do!

Now, it’s time to dig into those tracks. You’ll want to extract features from the audio. MFCCs are the go-to here. Just load your audio file with librosa, and you can pull out those features.

Once you’ve got the features, it’s model time. You can start simple with a RandomForest or SVM, or if you’re feeling a bit fancy, maybe try a CNN. It’s all about what you’re comfortable with.

Finally, split your data, train the model, and see how it performs. It’s like giving your model a little workout to see how well it can classify those genres.

And that’s pretty much the gist of it! If you mess up somewhere along the way, don’t sweat it—just learn and keep going. Let me know if you need any more help!

Answer 2

open the editor (VSCodium) and start writing the code

Answer 3

You said "mini project". Is this some exercise in SoloLearn? Or is this an app you wish to develop? If it's a SoloLearn assignment, post your code and we'll help you sort it out. If it's a real project, Melkon has a strategy for you.

For any project, you start by planning what you want to accomplish, what steps you need to take to accomplish it, and keep breaking it down until the task makes sense.