The article is devoted to the problem of voice signals recognition means introduction in the system of distance learning. The results of the conducted research determine the prospects of neural network means of phoneme recognition. It is also shown that the main difficulties of creation of the neural network model, intended for recognition of phonemes in the system of distance learning, are connected with the uncertain duration of a phoneme-like element. Due to this reason for recognition of phonemes, it is impossible to use the most effective type of neural network model on the basis of a multilayered perceptron, at which the number of input parameters is a fixed value. To mitigate this shortcoming, the procedure, allowing to transform the non-stationary digitized voice signal to the fixed quantity of mel-cepstral coefficients, which are the basis for calculation of input parameters of the neural network model, is developed. In contrast to the known ones, the possibility of linear scaling of phoneme-like elements is available in the procedure. The number of computer experiments confirmed expediency of the fact that the use of the offered coding procedure of input parameters provides the acceptable accuracy of neural network recognition of phonemes under near-natural conditions of the distance learning system. Moreover, the prospects of further research in the field of development of neural network means of phoneme recognition of a voice signal in the system of distance learning is connected with an increase in admissible noise level. Besides, the adaptation of the offered procedure to various natural languages, as well as to other applied tasks, for instance, a problem of biometric authentication in the banking sector, is also of great interest.
The aim of the study was to find out the experiences of students of The Maria Grzegorzewska University, related to crisis remote education (remote teaching and distance learning in conditions of forced social isolation caused by SARS-CoV-2 pandemic). A case study was used. The research was limited to one institution and the method of a diagnostic survey based on the questionnaire technique was used. Recommendations for further development were made, based on disclosed advantages, disadvantages, problems and opportunities connected with crisis remote education conclusions reported by students.
The aim of the study was to find out the experiences of academics working at The Maria Grzegorzewska University, related to crisis remote education (remote teaching and distance learning in conditions of forced social isolation caused by SARSCoV- 2 pandemic). A case study was used. The research was limited to one institution and the method of a diagnostic survey based on the questionnaire technique was used. Recommendations for further development were made, based on disclosed advantages, disadvantages, problems and opportunities connected with crisis remote education conclusions reported by academic teachers.
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