Algorithm development for recognizing human emotions using a convolutional neural network based on audio data

• Published in: Informatika (Minsk, Belarus) Vol. 19; no. 4; pp. 53 - 68
• Main Authors: Semenuk, V. V., Skladchikov, M. V.
• Format: Journal Article
• Language: English; Russian
• Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 01.12.2022
• Subjects: convolutional neural network; human emotion recognition; keras neural network library; matlab software package; neural network; sound fingerprinting; tensоrflow software library
• ISSN: 1816-0301; 2617-6963
• DOI: 10.37661/1816-0301-2022-19-4-53-68

Objectives . This article provides a description and experience of creating the algorithm for recognizing the emotional state of the subject. Methods . Image processing methods are used. Results . The proposed algorithm makes it possible to recognize the emotional states of the subject on the basis...