A Review on Automatic Speech Emotion Recognition with an Experiment Using Multilayer Perceptron Classifier

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dc.contributor.authorSardar, Abdullah Al Mamun
dc.contributor.authorIslam, Md. Sanzidul
dc.contributor.authorBhuiyan, Touhid
dc.date.accessioned2021-05-11T08:21:34Z
dc.date.available2021-05-11T08:21:34Z
dc.date.issued2020-11-28
dc.description.abstractHuman–machine interaction is becoming popular day by day; to interact with machine, speech emotion recognition is as important as human to human interaction. In this research, we demonstrate a speech emotion recognition system which takes speech as input and classify emotions that the speech contains. We choose multilayer perceptron (MLP) classifier to do this task. Features that we have extracted from speech are mel-frequency cepstral coefficients (MFCC), chroma and mel-spectrogram frequency. RADVES dataset has been used and we have got 73% accuracy.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5713
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5713
dc.language.isoen_US
dc.publisherSpringer
dc.sourceDIU Institutional Repository
dc.subjectEmotion recognition
dc.subjectFrequency
dc.titleA Review on Automatic Speech Emotion Recognition with an Experiment Using Multilayer Perceptron Classifier
dc.typeArticle

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