Emotion Speech Recognition using Deep Learning

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Khalifa Othman O.; Alhamada M. I.; Abdalla Aisha H.

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Journal Paper

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Journal: Majlesi Journal of Electrical Engineering Year:2020 | Volume:14 | Issue:4 Page(s): 39-55

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Information Journal Paper

Title

Emotion Speech Recognition using Deep Learning

Author(s)

Khalifa Othman O. | Alhamada M. I. | Abdalla Aisha H. | Issue Writer Certificate

Keywords

Speech Emotion Recognition

Deep Learning

Deep Neural Network

Deep Boltzmann Machine

Recurrent Neural Network

Deep Belief Network

Convolutional Neural Network

Abstract

Emotion Speech Recognition (ESR) is recognizing the formation and change of speaker’ s emotional state from his/her speech signal. The main purpose of this field is to produce a convenient system that is able to effortlessly communicate and interact with humans. The reliability of the current Speech Emotion Recognition systems is far from being achieved. However, this is a challenging task due to the gap between acoustic features and human emotions, which relies strongly on the discriminative acoustic features extracted for a given recognition task. Deep Learning techniques have been recently proposed as an alternative to traditional techniques in ESR. In this paper, an overview of Deep Learning techniques that could be used in Emotional Speech recognition is presented. Different extracted features like MFCC as well as feature classifications methods including HMM, GMM, LTSTM and ANN have been discussed. In addition, the review covers databases used, emotions extracted, and contributions made toward ESR.

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APA: Copy

Khalifa, Othman O., Alhamada, M. I., & Abdalla, Aisha H.. (2020). Emotion Speech Recognition using Deep Learning. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 14(4), 39-55. SID. https://sid.ir/paper/768521/en

Vancouver: Copy

Khalifa Othman O., Alhamada M. I., Abdalla Aisha H.. Emotion Speech Recognition using Deep Learning. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;14(4):39-55. Available from: https://sid.ir/paper/768521/en

IEEE: Copy

Othman O. Khalifa, M. I. Alhamada, and Aisha H. Abdalla, “Emotion Speech Recognition using Deep Learning,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 14, no. 4, pp. 39–55, 2020, [Online]. Available: https://sid.ir/paper/768521/en

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