Automated Facial Expression and Speech Emotion Recognition App Development on Smart Phones using Cloud Computing

Because emotions are such a significant and integral part of being human, understanding them and knowing how to react to the emotions of others is a fundamental requirement for successful social interaction. We recognize emotions primarily through speech and facial expression. The topic is gaining importance in academic research triggered by research in new techniques such as identifying emotions based on speech context. This investigates the relationship between emotions and the content of our speech. This paper proposes how emotion in speech and facial expression can be recognized in real time using a framework consisting of mobile phone technology backed by cloud computing. This functionality was developed and built into a mobile phone application. Currently, the application works on any Android smartphone to detect and identify emotions in real time. The results are expressed as a percentage of all the possible emotions, such as sad, happy, fear, surprise, anger and so on. The results of the experiment confirm that face and speech emotion recognition was conducted successfully using a smartphone. It was correct in 97.26% of instances when used with standard corpora: a.Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) b.the Surrey Audio-Visual Expressed Emotion (SAVEE).