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The authors use the model of a deep learning neuron network to substantiate and verify principal applicability of such network to create a highly effective examination tool for phonogram digital… Click to show full abstract
The authors use the model of a deep learning neuron network to substantiate and verify principal applicability of such network to create a highly effective examination tool for phonogram digital processing detection. An experiment was conducted on more than 100,000 experimental fragments of unprocessed and processed phonogram pauses obtained automatically. The obtained dependences showed that when the probability threshold for correct binary classification of pauses is more than 0.55, it is possible to construct a highly effective examination tool.
Journal Title: Cybernetics and Systems Analysis
Year Published: 2020
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