Recognizing emotions is automatically and subconsciously performed by humans. It is a vital process for human-to
human communication, and thus, to achieve better human machine interaction, emotions need to be considered. Emotional
speech recognition importance is growing in several domains. Researchers have raised the impact of emotion in
multidisciplinary applications. Predicting human emotions is catching the attention of many research areas, which demand
accurate predictions in uncontrolled scenarios. Psychologists have widely studied the influence of emotional factors, on
decision-making. As example, pilot’s decision in a flight context may jeopardize several humans life . The importance of
recognizing emotion for needs of the real world use is becoming unavoidable. In real world applications, speech signals are
often corrupted by acoustic background noise. In these applications, speech enhancement is a necessary module for the emotion
recognition system. Despite recent advances in the field of automatic
