A Python based library for processing audio data into features and building Machine Learning models.
Clone the project and get it setup
git clone [email protected]:jsingh811/pyAudioProcessing.git
pip install -e .
Get the requirements by running
pip install -r requirements/requirements.txt
Feature options :
You can choose between mfcc, gfcc or gfcc,mfcc features to extract from your audio files.
Classifier options :
You can choose between svm, svm_rbf, randomforest, logisticregression, knn, gradientboosting and extratrees.
Command line example of using gfcc feature and svm classifier.
Training:
python pyAudioProcessing/run_classification.py -f "data_samples/training" -clf "svm" -clfname "svm_clf" -t "train" -feats "gfcc"
Classifying:
python pyAudioProcessing/run_classification.py -f "data_samples/testing" -clf "svm" -clfname "svm_clf" -t "classify" -feats "gfcc"
Code example of using gfcc feature and svm classifier.
from pyAudioProcessing.run_classification import train_and_classify
# Training
train_and_classify("data_samples/training", "train", ["gfcc"], "svm", "svm_clf")
# Classify data
train_and_classify("data_samples/testing", "classify", ["gfcc"], "svm", "svm_clf")
Jyotika Singh
Data Scientist
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https://www.linkedin.com/in/jyotikasingh/