Emotion Recognition in voice using Deep Neural Network

Emotion Recognition in voice using Deep Neural Network

CH SIVASANKAR ¹, K SREE LATHA ²,   G VIGNESH ³,   C JASWANTH REDDY ⁴,

B GOPI VIVEK ⁵

¹Assitant professor^{, 2,3,4,5} Students, Dept of CSIT

^1,2,3,4,5 Siddharth Institute of Engineering & Technology, Puttur-517583

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Abstract - In mortal machine interface operation, emotion recognition from the speech signal has been exploration content since numerous times. feelings play an extremely important part in mortal internal life. It's a medium of expression of one's perspective or bone 's internal state to others. Speech Emotion Recognition (SER) can be defined as birth of the emotional state of the speaker from his or her speech signal. There are many universal feelings including Neutral, wrathfulness, Happiness, Sadness etc., in which any intelligent system with finite computational coffers can be trained to identify or synthesize as  needed. In this work, we’re rooting Mel-  frequency cepstral portions( MFCC), Chromogram, Mel gauged  spectrogram in confluence with Spectral  discrepancy and Tonal Centroid features. Deep Neural Network is used to categorize the emotion in this works.

Keywords: Speech Processing, Emotion Recognition, Deep Neural Network, SER (Speech Emotion Recognition).