Abstract
The work examines the methods used to solve the given problem. Their architecture, principles of operation, specific examples in which they were used, their advantages and disadvantages were analyzed. The task of detecting and removing impulse noise in audio signals using machine learning methods is described. On the basis of the conducted research, a software solution using the spectral subtraction algorithm is proposed, which allows detecting and removing impulse noise in audio signals in order to improve the quality of audio perception. Figs: 3. Tabl.: 1. Refs: 10 titles.
 Keywords: audio signal; impulse noise; spectral subtraction; machine learning; recognition; noise removal.
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