In this project, I trained different models to classify voices and compared the accuracy of each model to find which one is better.
I have built a logistic regression classifier employing gradient descent to update the parameters. Moreover, I trained another logistic model using Scikit-learn library to compare the accuracy with the one that I built.
Multilayer Perceptron is the other approach that I used, and I built different model with different features using Keras and TensorFlow library to see how changing each feature and parameter will affect the accuracy of the classifier.