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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Anu Saini
G. B. Pant DSEU Okhla I Campus

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An investigation of machine learning techniques in speech emotion recognition Anu Saini; Amit Ramesh Khaparde; Sunita Kumari; Salim Shamsher; Jeevanandam Joteeswaran; Seifedine Kadry
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp875-882

Abstract

The natural languages are medium of communication from the inception of civilization. As the technology improves, the text messages, voice messages and videos are the addons in medium of communication. In long distance communication, the analysis of expression is modern area of research. The parameters of assessment are subjective hence the emotion recognition is challenging task. This article furnishes the investigation of various machine learning techniques and novel methods for speech emotion recognition (SER) to determine the feeling/sentiments in a speech. Here, we investigate the three machine learning methods named multinominal Naive Bayes (MNB), logistic regression (LR), and linear support vector machine (LSVM). Further, these techniques are incorporated with the proposed method. The performance of these machine learning techniques is investigated on two different datasets.  The datasets consist of voice and text data samples. The prosed method is trained and tested on these datasets. As per the experimentation, it has been observed that the LSVM has outperformed the other two machine learning techniques.
Co-Authors Amit Ramesh Khaparde Jeevanandam Joteeswaran Salim Shamsher Seifedine Kadry Sunita Kumari