Machine Learning Based Emotion Recognition using Speech Signal
K Ashok Kumar1, J L Mazher Iqbal2
1K Ashok Kumar, Research Scholar, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Dr. J. L. Mazher Iqbal, Professor, Department of ECE, Veltech Rangarajan Dr. Sagunthala R&D, Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 295-301 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A10681291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1068.1291S519
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Abstract: The challenging module in CAS (computer-aided services) has recognized the emotion from the signals of speech. In SER (speech emotion recognition), several schemes have used for extracting emotions from the signals, comprising various classification & speech analysis methods. This manuscript represents an outline of methods & explores some contemporary literature where the existing models have used for emotion recognition based on speech. This literature review presents contributions that made towards emotion recognition of speech and extracted the features for determining emotions.
Keywords: Computer-Aided Services, Speech Emotion Recognition, Automatic Speech Recognition, Natural Language Processing, MFCC, SVM.
Scope of the Article: Machine Learning