Emotion Detection From Speech

In the past decade a lot of research has gone into Speech Emotion Recognition. The primary objective of Speech Emotion Recognition is to improve man-machine interface. It can also be used to monitor the psycho physiological state of a person in lie detectors. In recent time speech emotion recognition also finds its applications in medicine and forensics. It can also be used to recognize different emotions like sad happy angry etc. Basically it can be used to detect positive and negative emotions. This book mainly focuses on Emotion detection using Raspberry Pi 3 to recognize the emotions through speech. It can also be implemented using complete software that is MATLAB. As per literature survey done Raspberry Pi 3 has been used in past for emotion detection from facial expression but no work had been done on this processor for emotion detection from speech. Raspberry Pi 3 has many advantages and features and is basically used by programming it in Python. This book mainly focuses on comparing the implementation through hardware and software. The easiest way to compare is through recognition efficiency. In this book we achieved recognition efficiency of 100 % for emotions such as Happy Sad and Angry.