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  • Development of a method for constructing an automated accompaniment based on the main melody

    The question of creating an automated accompaniment is still an undisclosed part within the current automation of the musical field. The construction of accompaniment is used not only in the musical field, but also in related ones. Automatically generated accompaniment is used in audio and video studios for advertising, by people with and without musical education. In this paper, the existing methods for constructing automated accompaniment, audio file formats will be considered, and the developed algorithm and method for automatic accompaniment generation will be described.

    Keywords: accompaniment, auto generated accompaniment, auto accompaniment, melody, MIDI

  • Neural network approach to determining human emotions by speech

    From the point of view of practical value, the definition of emotions in a person's voice can be applied in various areas related to both the transmission of audio messages and online communication: such areas include medicine, security, economics, education, etc. As a striking example, we can provide an assessment of the quality of work of call-center operators, as well as the services / goods they offer. So the presence of signals that the client is experiencing negative emotions, for example, anger, can indicate possible problems with the operators. In this paper, a neural network approach will be considered for automatically determining a person's emotions from his speech.

    Keywords: neural network, emotion detection, speech, classification, deep learning, convolutional model

  • A method of collecting data using an oculoscope in the priority areas of sites

    From the point of view of practical value, data collection in priority areas of sites can be used by designers and owners of web resources to increase the conversion component of a web resource. Information about which areas on the site are most interesting to the user can indicate the places where the most important design elements need to be placed. In this paper, we will consider the method of data collection using an oculoscope in the priority areas of sites.

    Keywords: usability, view, website, eye tracker, heat map

  • Forecasting the vegetation index of agricultural Lands in the Volgograd Region using Neural Network methods

    The topic of monitoring the state of vegetation using satellite technologies is covered in this paper. The forming of fields' NDVI images is considered. It is proposed to supplement satellite images with new images which formed on predicted values ​​of the vegetation index. It can be helpful for timely detection of heterogeneous and defective areas of vegetation cover. The paper discusses methods for forecasting the NDVI values using Volgograd region as a study area. The results of training a recurrent neural network with the LSTM mechanism, as well as the results of training the XGBoost algorithm, are obtained. Based on the results of the training, the most important weather parameters affecting NDVI were identified. The performance of the trained models was evaluated using the RMSE metric.

    Keywords: precision farming, vegetation indices, NDVI, forecasting, time series, LSTM, random forest