Papers by Oleg E ILARIONOV
Intelligent module for recognizing emotions by voice
Speech is the main way of communication for people, and people can receive not only semantic but ... more Speech is the main way of communication for people, and people can receive not only semantic but also emotional information from speech. Recognition of emotions by voice is relevant to areas such as psychological care, security systems development, lie detection, customer relationship analysis, video game development. Because the recognition of emotions by a person is subjective, and therefore inexact and time consuming, there is a need to create software that could solve this problem. The article considers the state of the problem of recognizing human emotions by voice. Modern publications, the approaches used in them, namely models of emotions, data sets, methods of extraction of signs, classifiers are analyzed. It is determined that existing developments have an average accuracy of about 0.75. The general structure of the system of recognition of human emotions by voice is analyzed, the corresponding intellectual module is designed and developed. A Unified Modeling Language (UML) is used to create a component diagram and a class diagram. RAVDESS and TESS datasets were selected as datasets to diversify the training sample. A discrete model of emotions (joy, sadness, anger, disgust, fear, surprise, calm, neutral emotion), MFCC (Mel Frequency Cepstral Coefficients) method for extracting signs, convolutional neural network for classification were used. . The neural network was developed using the TensorFlow and Keras machine learning libraries. The spectrogram and graphs of the audio signal, as well as graphs of accuracy and recognition errors are constructed. As a result of the software implementation of the intelligent module for recognizing emotions by voice, the accuracy of validation has been increased to 0.8.
Eastern-European Journal of Enterprise Technologies, 2018
Computer forensics (software and technical expertise) belongs to the category of engineering and ... more Computer forensics (software and technical expertise) belongs to the category of engineering and technical expertise. It is an important element in a number of computer expertises, because it allows to build a holistic system of evidence comprehensively. The importance of computer forensics is explained by the increased role of the computers in the modern world. A huge number of offenses and crimes is committed precisely with the help of computer technologies. The computer forensics and expertise of computer equipment is especially relevant in criminal and civil cases. Expertise of computers, hardware, software, databases due to the continuous improvement of computer equipment and software is one of the most complex types of research. The community of free software developers is constantly creating assemblies of utilities designed for software and technical expertise. The most popular is the KaliLinux collection, whereas Cyborg Hawk Linux is undeservedly ignored. The purpose of our ...
Review of General Management, 2010
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Papers by Oleg E ILARIONOV