## Description

Built a series of maximum likelihood models to classify spoken Arabic Digits using Cepstral Coefficients (see slides in GitHub repository). Achieved 84% accuracy on test set using k-means maximum likelihood classifier, and 96% using a Gaussian Mixture Model. Submitted as a class project for ECE 480, Applied Probability for Statistical Learning.

## Tools Used

Python

Pandas

Matplotlib

scikit-learn