Cardiac disorders are spreading rapidly all over the world. As per World Health Organization (WHO), 17.5 million people die each year due to cardiovascular diseases (CVD). This implies that, there is a dire need to develop cost effective, time efficient and fully automated solutions to diagnose cardiovascular abnormalities. Many researchers have worked on detecting CVD from electrocardiogram (ECG) signals. where, ECG signals gives reliable information about cardiac pathology however phonocardiogram (PCG) signal provides an easy, cost effective, objective and comprehensive information about cardiovascular abnormalities by measuring heart beats. Accordingly, we are working on developing a fully automated robust clinical decision support system that can identify cardiovascular abnormalities by analyzing heart sounds from PCG signals.