SVM Classifer

This is an SVM model that utilizes the librosa package to filter and extract features from audio files. Each audio file contains a pair of spoken digits, with random interferences throughout the training set. This model achieved a peak accuracy of 92% on the testing set from the labels presented in predicted_labels.csv.