Speech/Music classification of audio files using machine learning techniques.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
Apostolos Fanakis ccf0ecf3ef
Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements
6 years ago
..
README.md Init data preprocessing 6 years ago
__init__.py Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 6 years ago
data_preprocessing.py Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 6 years ago
dataset.pkl Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 6 years ago

README.md

Data preprocessing

The file data_preprocessing is a python module that uses the open-source library scikit-learn to perform several data preprocessing techniques to the data previously extracted.

The module can be imported or executed as a script using one of the following commands python data_preprocessing.py <music_data_directory> <speech_data_directory> or python3 data_preprocessing.py <music_data_directory> <speech_data_directory>

Dependencies:

  • scikit-learn
  • numpy

All dependencies are available both for python2 and python3 versions and can all be installed using the commands pip install <package_name> or pip3 install <package_name> for python2 and python3 respectively.