2017 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2017)

256 / 2017-01-18 16:20:36

Real Time Emotion Detection From Speech using Raspberry Pi 3

Emotion detection,Signal Processing,Raspberry Pi 3

In the past decade, a lot of research has been done in 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, fear, etc. Basically, it can be used to detect positive and negative emotions. This project mainly focuses on using a DSP processor (Raspberry Pi 3) to recognize the emotions through speech. It can also be implemented using complete software that is MATLAB. DSP has many advantages and features and is basically used by programming it in Python. This project mainly focuses on comparing the implementation through hardware and software. The easiest way to compare is through efficiency and many other features.