SPEECH BASED EMOTION RECOGNITION USING MACHINE LEARNING









Abstract

Emotion is something which is derived from the environmental factors. In the writing of discourse of Speech Emotion Recognition (SER), numerous methods have been used to extricate emotions from speech. In the proposed framework for the acknowledgment of emotions from speech CNN algorithm is used. To identify emotions, feature extraction and preprocessing are done so that the undesirable clamor gets filtered out. These separated features were carried forward and sent to the CNN classifier model. The dataset will go through the extraction system which would settle on a choice with respect to the basic emotion perceives in the sound.


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Software And Hardware