You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This aims to classify audio tracks into different music genres using machine learning techniques, specifically deep learning models. The model uses audio features like Mel-Spectrograms to learn patterns associated with each genre.
The goal is to build a model that can predict the genre of a music track from its audio signal. This project involves processing the audio data, extracting meaningful features, and training a neural network model to classify the genre based on these features
The text was updated successfully, but these errors were encountered:
Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR, please make sure to:
⭐ Star the repository if you haven't already.
Pull the latest changes to avoid any merge conflicts.
Attach before & after screenshots in your PR for clarity.
Include the issue number in your PR description for better tracking.
Don't forget to follow @UppuluriKalyani – Project Admin – for more updates!
Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
Happy open-source contributing!☺️
This aims to classify audio tracks into different music genres using machine learning techniques, specifically deep learning models. The model uses audio features like Mel-Spectrograms to learn patterns associated with each genre.
The goal is to build a model that can predict the genre of a music track from its audio signal. This project involves processing the audio data, extracting meaningful features, and training a neural network model to classify the genre based on these features
The text was updated successfully, but these errors were encountered: