Audio feature extraction: Foreground and Background audio separation using KNN algorithm

Data Science is a fairly novel field, and it predominantly deals with analysis assortment of data. Machine Learning field that goes hand in this regard. Various Algorithms, which are trained on dataset predict results based their training, thus the accuracy model determined by testing dataset. Foreground feature extraction another interesting application. Using data visualization processing, we can plot graphs for audio frequency intensity. This proves useful using MFCC (Mel-frequency cepstral coefficients).