So far, we have used a python code to find the MFCCs of the samples we have collected. We are also continuing to collect more sounds of the various categories. (Our current sound sample categories include dogs barking, birds chirping, human speech, bike engines, car engines, jet sounds, crowds cheering, musical instruments - violin, piano, cello, guitar and drums.)

Our next task is to carefully study the classification of the data sets available on the UCI Machine Learning Repository page and use the knowledge to classify the samples we have using Weka. We have also been going through tutorials of Weka to familiarize ourselves with how it works.

We will shortly be uploading the samples we have collected onto a Google Drive and share the link on the blog.