SPEECH EMOTION RECOGNITION USING DEEP LEARNING

Speech Emotion Recognition is a present topic of the research since it has wide range application. SER vital part effective human interaction in speech processing. recognition domain that growing rapidly recent years. Unlike humans, machines deficit potential to perceive and express emotions. But improvisation human-computer can be done by automated thereby turn down need mediation time. The primary goal improve man-machine interface. This paper covers Deep Learning train model, Librosa classify audio data. In deep learning CNN used model based on frequency parameter. also contains study various emotion methods like, happy, sad, angry, disgust, surprise fear.