https://github.com/danyalimran93/Music-Genre-Classification
Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
https://github.com/danyalimran93/Music-Genre-Classification
audio-signal-processing librosa machine-learning music-genre music-information-retrieval
Last synced: 10 months ago
JSON representation
Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
- Host: GitHub
- URL: https://github.com/danyalimran93/Music-Genre-Classification
- Owner: danyalimran93
- Created: 2017-01-08T00:44:49.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-05-07T07:34:55.000Z (about 9 years ago)
- Last Synced: 2025-06-22T07:44:24.124Z (about 1 year ago)
- Topics: audio-signal-processing, librosa, machine-learning, music-genre, music-information-retrieval
- Language: HTML
- Size: 5.46 MB
- Stars: 33
- Watchers: 2
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Music Genre Classification
### Introduction
A music genre is a conventional category that identifies some pieces of music as belonging to a shared tradition or set of conventions (rock, pop, metal, etc). It is to be distinguished from musical form and musical style.
Music can be divided into different genres in many different ways. The artistic nature of music means that these classifications are often subjective and controversial, and some genres may overlap. [1]
### Inherited Fields
This project is based on knowledge from
- Music Information Retrieval (MIR)
- Audio Signal Processing for Music Applications (DSP)
- Machine Learning (ML)
### What Does this Repository Contain
This repository contains folders regarding:
- Feature Extraction
- Datasets Used
- Score/Feature Scaling and Weighting
- Ensemble Learning
- Different Machine Learning Approaches to Improve Results
We wish to work on the most popular 8 genres as:
- Blues
- Country
- Electronic
- Hip Hop
- Jazz
- Metal
- Pop
- Rock
### Dependencies
- Numpy
- Scipy
- IPython
- Scikit Learn
- Librosa
- ffmpeg
- seaborn
- pandas
- Matplotlib
To work underthese you must have the following packages installed:
```sudo apt-get install python-scipy python-numpy python-matplotlib ipython pip pandas ffmpeg```
and the following library installed:
```sudo pip install librosa seaborn```
or if you work under windows:
- Install Anaconda
- Insert Environment Variables ```C:\Python27\Scripts;C:\ffmpeg\bin``` in Advanced System settings to support ```pip``` and ```ffmpeg```
for more on librosa documentation: http://librosa.github.io/librosa/
### References
[1] https://en.wikipedia.org/wiki/Music_genre