Your voice can give me your emotion. This project detect the emotion of a person through voice.
Stack Used: TensorFlow, Sk-learn, keras, Django
Source Code: Github

This is my Final year project. User can record voice for 4-5 seconds and based on the given voice, different frequencies (MFCC, CHORMA) are extracted and the emotion is predected.

• Classification in 4 classes (Sad, Happy, Angry and Fearful)
• KNN, SVN and other models are used and compared to chose the best model among them.
• Check my final documentation from here: Report