Practical Approach for Detection by Deep Learning of Target Objects of Subject Area Based on Semantic Connectivity Indicators in Audio Database
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2024
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A practical approach for detection was performed by deep learning of target objects in the subject area based on semantic connectivity indicators in an audio database. A database was also created for the software that detects actors in Ukrainian-language audio data for the media sphere. This database includes the necessary tables that provide convenient storage and organization of information about actors, audio data and transcription. It is a key tool for analysing and processing audio data in the media field, which allows you to efficiently identify, classify and analyze the information contained in audio files, taking into account their context and content.
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Mazurets O., Sobko O., Vit R., Pasternak V. Practical Approach for Detection by Deep Learning of Target Objects of Subject Area Based on Semantic Connectivity Indicators in Audio Database. Proceedings of XXІV International Scientific and Practical Conference «Modern Scientific Challenges are the Driving Force of the Development of Scientific Research». May 22-24, 2024. Bruges, Belgium. International Scientific Unity. 2024. Pp. 91-96