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On Individual Polyinformativity of Speech and Voice Regarding Speakers Auditive Attribution (Forensic Phonetic Aspect)

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Abstract

This paper considers the role of the auditive recognition of speakers regarding the attribution of speech and voice individual features. Our study investigates how well listeners can attribute a set of individual features of speakers: verbal, paraverbal, extraverbal, physiological, anthropometric, physical, emotional, social, etc. The main task of this investigation was to indicate which attributes of a speaker should be auditive recognized: universal, group or idiosyncratic ones. For auditive analysis special questionnaires were used. Two types of speech and voice were analysed: interindividual, intraindividual ones.

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Acknowledgment

This research is supported by Russian Science Foundation, Project N14-18-01059 (2014–2016).

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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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Corresponding author

Correspondence to Rodmonga Potapova .

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Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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Potapova, R., Potapov, V. (2016). On Individual Polyinformativity of Speech and Voice Regarding Speakers Auditive Attribution (Forensic Phonetic Aspect). In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_61

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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