Gender-Driven Emotion Recognition Through Speech Signals

In the growing era of technology, the need for improved Human Computer Interaction has increased. Today very important developing area concerns remote monitoring of elderly and ill people. Gender Driven Emotion Recognition (GDER) system allows us to recognize a person’s emotional state through his speech signals. GDER system intends to improve the interaction between Human and Computer thus allowing effective intelligent interaction. The system recognizes emotions with increased performance when prior knowledge of speaker’s gender is provided. The system works in two phases – In the first phase the speaker’s gender is recognized and in the second phase speaker’s emotions are detected. The system is able to recognize four human emotions – Happiness, Sadness, Anger and Neutral. In future, development in the proposed GDER system may include its implementation over smart home, smart offices and smart devices.