The purpose of this project is to study the feasibility of a music classification system based on music content using a neural network. A 1.5 second audio file stored in WAV format is passed to a feature extraction function. The WAV format for digital audio is simply the left and right stereo signal samples. The feature extraction function calculates 124 numerical features that characterize the sample. When training the system, this feature extraction process is performed on many different input WAV files to create a matrix of column feature vectors.