Gender Based Emotion Recognition Using Speech Signals:A Review

Emotion recognition using speech signals has been a rising area in the recent years. The emotion recognition system discussed is gender based which is capable of recognizing six emotions (happiness, anger, surprise, disgust, sadness and fear) and neutral state. The above said system has two sub systems: 1) gender recognition 2) emotion recognition. If the gender of the speaker is known before finding the emotions of the speaker then it gives higher accuracy as mentioned in one of the papers. It also improves the humancomputer interaction (HCI) which can be useful in giving feedback in real time applications. In this paper literature on emotion recognition through speech using different databases and different features is presented. Different models of classifiers are discussed here for their accuracy with respect to emotion recognition.