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The main problem of seismic research is the extremely low resolution of seismic data. Based on this, specialists need a tool that would be able to increase the resolution of seismic information. In this paper, we study application of convolutional neural networks with short-time Fourier transform to increase the resolution of seismic data. The approach was tested on synthetic seismic data and showed its effectiveness.