This paper and project, aims to find how accurate machine learning classifiers are within metal subgenres.
academic-paper
academic-project
ai
classification
machine-learning
music-information-retrieval
music-theory
- TeX 66.4%
- Python 33.6%
| cross_validate | ||
| generate_dataset | ||
| report | ||
| results | ||
| .gitignore | ||
| main.py | ||
| README.md | ||
| requirements.txt | ||
Music Subgenre Classification Using Deep-Learning and Traditional Machine-Learning Approaches
This paper and project, aims to find how accurate machine learning classifiers are within metal subgenres. Additionally, it can be asked if there is any significant confusion among subgenres over multiple classifiers.
Installation
The project has been tested on python version 3.12.7. Hence, it is suggest to use that version.
External packages are required.
Use the package manager pip to install the dependecies.
pip install -r requirements.txt
Usage
By default, all of the tasks and imports related to cross validation and generating the dataset are commented out. You can uncomment out the distinct tasks within main.py.
python main.py