REMOVE THE SILENCES (NON - SPEECH PART) FROM THE SIGNALS. CONVERT THEM TO FREQUENCY DOMAIN FOR DIGITAL ANALYSIS. EXTRACT FEATURES FROM THE AUDIOS. CREATE A DATABASE FOR THE SPEECH SIGNALS. TRAIN THE CLASSIFIER. TEST THE CLASSIFIER. CHECK FOR MAXIMUM ACCURACY. KNN Model (k = 4) was used. Efficiency obtained was 71.4286%