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Main Determinants of the Acmeologic Personality Profiling

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Speech and Computer (SPECOM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11096))

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Abstract

This investigation aims at establishing a set of voice and speech personality identification features that predict some phonation and articulation gestures in regard to lexical-semantic, phonological, anthropometrical, acoustical, physiological, psychological, emotional and intellectual peculiarities of the “electronic personality” on the Internet and other automated digital communication means and devices. This problem is very significant for forensic investigations in the domain of speech communication. It is proposed to undertake special studies to find solutions to these problems in the field of forensic phonetics. In forensic application of the “electronic personality”, it is necessary to be able to specify a temporal dynamics factor for a decision concerning acmeologic quantitative and qualitative changes of the personality in time.

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Acknowledgements

This research is supported by the Russian Science Foundation, Project № 18-18-00477.

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Authors and Affiliations

  1. Institute of Applied and Mathematical Linguistics, Moscow State Linguistic University, Ostozhenka 38, Moscow, 119034, Russia

    Rodmonga Potapova

  2. Faculty of Philology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russia

    Vsevolod Potapov

Authors
  1. Rodmonga Potapova
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  2. Vsevolod Potapov
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Correspondence to Rodmonga Potapova .

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Editors and Affiliations

  1. SPIIRAS, St. Petersburg, Russia

    Alexey Karpov

  2. Leipzig University of Telecommunications, Leipzig, Germany

    Oliver Jokisch

  3. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

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Potapova, R., Potapov, V. (2018). Main Determinants of the Acmeologic Personality Profiling. In: Karpov, A., Jokisch, O., Potapova, R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science(), vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_56

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  • DOI: https://doi.org/10.1007/978-3-319-99579-3_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99578-6

  • Online ISBN: 978-3-319-99579-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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