Mashina E. A. (Lecturer, ITMO National Research University (St. Petersburg))
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One of the most significant tasks solved by the developing satrap is to build an effective system for attracting the necessary specialists to the company.
The article describes the results of an analytical review of methods to improve the efficiency of procedures for the selection of highly qualified employees in such companies and also lists the arguments that allow us to consider group interviews the most effective way to evaluate candidates for vacancies in developing startups. At the same time, it is shown that the use of automatic transcription of the results of group interviews makes it possible to significantly expand the possibilities of candidate evaluation procedures by further applying methods of semantic text analysis.
The following scientific methods were used during the study: collection and analysis of information, systematization of data, visualization of results, logical conclusions, comparison.
Keywords:startup, recruitment, group interviews, speech recognition, speaker identification, acoustic model, semantic text analysis, natural language processing, self-organizing maps
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Citation link: Mashina E. A. USAGE OF SPEECH RECOGNITION TECHNOLOGIES DURING GROUP INTERVIEWS TO IMPROVE THE WORK OF THE PERSONNEL MANAGEMENT SERVICE OF A STARTUP // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№09. -С. 125-130 DOI 10.37882/2223-2966.2023.09.21 |
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