Scopus Indexed Publications

Paper Details


Title
A Review on Automatic Speech Emotion Recognition with an Experiment Using Multilayer Perceptron Classifier
Author
Abdullah Al Mamun Sardar, Md. Sanzidul Islam, Touhid Bhuiyan,
Email
mamun35-1930@diu.edu.bd
Abstract

https://link.springer.com/chapter/10.1007/978-981-15-7394-1_36Human–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.

Keywords
Speech emotion recognition MLP classifier MFCC Chroma Mel-spectrogram frequency
Journal or Conference Name
Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing
Publication Year
2021
Indexing
scopus