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

Abdullah Al Mamun Sardar, Md Sanzidul Islam, Touhid Bhuiyan

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Human–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.
Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
Pages381-388
Number of pages8
ISBN (Electronic)9789811573934
DOIs
Publication statusPublished - 28 Nov 2020
Externally publishedYes
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2021 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1248

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/21 → …

Keywords

  • Chroma
  • MFCC
  • MLP classifier
  • Mel-spectrogram frequency
  • Speech emotion recognition

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