https://github.com/sanchariii/musicgenre_classification
Music genre classification is a machine learning model by which the model can predict music and classify the music based on popular genres like pop,jazz,rock,hip-hop,lofi etc.
https://github.com/sanchariii/musicgenre_classification
convolutional-neural-networks jupyer-notebook librosa python
Last synced: 3 months ago
JSON representation
Music genre classification is a machine learning model by which the model can predict music and classify the music based on popular genres like pop,jazz,rock,hip-hop,lofi etc.
- Host: GitHub
- URL: https://github.com/sanchariii/musicgenre_classification
- Owner: Sanchariii
- Created: 2023-04-18T17:36:05.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-04T20:14:57.000Z (almost 2 years ago)
- Last Synced: 2025-01-12T11:35:46.461Z (5 months ago)
- Topics: convolutional-neural-networks, jupyer-notebook, librosa, python
- Language: Jupyter Notebook
- Homepage:
- Size: 5.44 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Music-genre-classification
audio-to-mfcc -> it basically converts waveform of each audio file into its MFCC vector and stores it in a JSON file.
mgrCNN -> we apply CNN to our preprocessed JSON file containing the MFCCs.
model_testing -> we load our model and try to predict the genre of some songs.
Link to the dataset:
https://www.kaggle.com/datasets/andradaolteanu/gtzan-dataset-music-genre-classification?resource=download
# Result:
The accuracy of the model is giving 77.7% which is the learning accuracy of the Mel-spectre.