UDC 621.317+681.849
1 Volodymyr Dahl East Ukrainian National University, Sievierodonetsk, Ukraine
 edemsvi@gmail.com
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3 Kyiv Expert and Forensic Center of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine
fonoscopia@ukr.net
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4 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
nvsemenova@meta.ua
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ANALYZING THE MODELS OF SPEECH RECOGNITION ON THE BASIS OF NEURAL
NETWORKS OF DEEP LEARNING FOR EXAMINATION OF DIGITAL PHONOGRAMS
Abstract. The authors analyze the models based on deep learning neural networks, on the basis of the general approach to pauses and speech signals as different types of voice information fixed in a phonogram, different in some characteristics. It is shown that such an approach allows generating the learning databases with the use of the general for pauses and signals of speech methods of preliminary processing of information. This provides a high level of unification of network learning methods intended for solution of various examination problems.
Keywords: digital audio recording devices, learning database, deep learning neural network, digital treatment of phonograms, digital phonogram, examination.
FULL TEXT
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