PROSODY IN THE LEGAL PROTECTION OF THE HUMAN VOICE

Keywords: legal protection of voice, personal right, prosody, prosody parameters, speech modality digitization, linguistic model, generative language model, artificial neural network, software product development

Abstract

The draft law on the protection of the human voice as an object of personal non-property rights when it is generated by artificial neural networks defined the objectives of this study to identify the features, parametric analysis and digitalization of one of the main modalities of human speech-demand prosody. The methodology of the work is based on a systemic analysis of the phenomenon of prosody as a legally significant parameter, putting forward and testing a hypothesis about which type of speech prosody is the most pronounced. The selected methodology included a search for a source of high-quality samples of this speech modality, parameterization and digitalization of the selected prosody, as well as its comparison with neutral examples of verbal communication.

The results of the work include a conclusion on the need for legal detailing of the category of voice in order to develop effective mechanisms for its protection and defense. A useful result of the work was the setting up of an experiment on measuring and recording parameters that form a set of recurring features characteristic of the speech modality of demand, using unadapted, natural examples of individual statements. The results of the experiment were mathematically assessed and linguistically interpreted. Based on the identified patterns and experimental data, a software module for generating speech prosody of the requirement was developed. The created prototype passed experimental verification of the quality of its target function.

The scientific novelty of the work lies in the specification of knowledge about the parameters of prosody, important for its legislative regulation as an intangible benefit, as well as in proving the possibility of automatic reproduction of human verbal expression by software and hardware. The practical significance of the study is due to the applicability of its results for the legal protection of the human voice, deep training of large linguistic models in speech communication skills and imparting characteristics of a certain prosody to verbal elements, including through the integration of the developed prototype.

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Author Biography

Artjom R. BUDNIK, Bauman Moscow State Technical University, Moscow, Russia

A.R. Budnik is a 3rd year student of the Bauman Moscow State Technical University, majoring in linguistics and neurotechnological linguistics.

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Chen M., Mao S., Liu Y. Big data: A survey // Mobile Networks and Applications. 2014. Vol. 2. No. 19. P. 171–209. DOI: 10.1007/s11036-013-0489-0 DOI: https://doi.org/10.1007/s11036-013-0489-0

Published
2025-06-20