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Speech/Music classification of audio files using machine learning techniques.
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the-assignment/classifier/feature_extraction
Apostolos Fanakis ccf0ecf3ef
Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 		7 years ago
..
music_features Add 4 Hz modulation feature 7 years ago
speech_features Add 4 Hz modulation feature 7 years ago
README.md Move feature extraction to separate folder, Init batch_feature_extractor 7 years ago
__init__.py Init k-Fold Cross Validation, Add test script, Remove LPC features, Minor fixes 7 years ago
batch_feature_extractor.py Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 7 years ago
feature_extractor.py Migrate structures to pandas DataFrame, Complete visualization, Minor fixes and improvements 7 years ago

README.md

Feature extraction

The file feature_extractor is a python module that uses the open-source library Essentia to extract audio features from an audio file in the path specified in the first parameter and save the features' values to a json file in the path specified in the second parameter.

The module can be imported or executed as a script using one of the following commands python feature_extractor.py <audio_file_path> <extracted_features_file_path> <audio_file_sample_rate> or python3 feature_extractor.py <audio_file_path> <extracted_features_file_path> <audio_file_sample_rate>

A python script is also provided for a batch feature extraction. The script can be executed using one of the following commands: python batch_feature_extractor.py <audio_files_directory> <feature_files_directory> <audio_files_sample_rate> or python3 batch_feature_extractor.py <audio_files_directory> <feature_files_directory> <audio_files_sample_rate>

Dependencies:

  • essentia
  • numpy
  • scipy

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.