Standard

Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes. / Tarasiev, Andrey; Filippova, Margarita; Aksyonov, Konstantin и др.
в: AIP Conference Proceedings, Том 2849, № 1, 190002, 2023.

Результаты исследований: Вклад в журнал › Материалы конференции › Рецензирование

Harvard

Tarasiev, A, Filippova, M, Aksyonov, K & Talantsev, E 2023, 'Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes', AIP Conference Proceedings, Том. 2849, № 1, 190002. https://doi.org/10.1063/5.0162428

APA

Tarasiev, A., Filippova, M., Aksyonov, K., & Talantsev, E. (2023). Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes. AIP Conference Proceedings, 2849(1), [190002]. https://doi.org/10.1063/5.0162428

Vancouver

Tarasiev A, Filippova M, Aksyonov K, Talantsev E. Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes. AIP Conference Proceedings. 2023;2849(1):190002. doi: 10.1063/5.0162428

Author

Tarasiev, Andrey ; Filippova, Margarita ; Aksyonov, Konstantin и др. / Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes. в: AIP Conference Proceedings. 2023 ; Том 2849, № 1.

BibTeX

@article{2dcc2a0592ab42d58b53fde7a6f2711c,
title = "Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes",
abstract = "In the article, we consider the idea of developing an intelligent and customizable automated system for maintaining text and voice dialogs with the user in the real time. This system can be used for almost any subject area, for example, to create an automated robot - the operator of the call center or smart chat bots, assistants and so on. The work in details presents module of recognized text phonetic post-processing on the example of the Russian languages. This is improvement of existing post-processing submodule used application of different Stemming methods and stochastic keyword ranking using weights table. The phonetic analyze submodule uses word transformations and analyze of phoneme similarity using Levenshtein distance algorithm. {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.",
author = "Andrey Tarasiev and Margarita Filippova and Konstantin Aksyonov and Egor Talantsev",
note = "The work is supported by Act 211 Government of the Russian Federation, contract ʋ 02.A03.21.0006.",
year = "2023",
doi = "10.1063/5.0162428",
language = "English",
volume = "2849",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics Publising LLC",
number = "1",

}

RIS

TY - JOUR

T1 - Application of a hybrid speech-recognition post-processing system to improve the quality of decision-making based on phonetic analysis of words and phonemes

AU - Tarasiev, Andrey

AU - Filippova, Margarita

AU - Aksyonov, Konstantin

AU - Talantsev, Egor

N1 - The work is supported by Act 211 Government of the Russian Federation, contract ʋ 02.A03.21.0006.

PY - 2023

Y1 - 2023

N2 - In the article, we consider the idea of developing an intelligent and customizable automated system for maintaining text and voice dialogs with the user in the real time. This system can be used for almost any subject area, for example, to create an automated robot - the operator of the call center or smart chat bots, assistants and so on. The work in details presents module of recognized text phonetic post-processing on the example of the Russian languages. This is improvement of existing post-processing submodule used application of different Stemming methods and stochastic keyword ranking using weights table. The phonetic analyze submodule uses word transformations and analyze of phoneme similarity using Levenshtein distance algorithm. © 2023 American Institute of Physics Inc.. All rights reserved.

AB - In the article, we consider the idea of developing an intelligent and customizable automated system for maintaining text and voice dialogs with the user in the real time. This system can be used for almost any subject area, for example, to create an automated robot - the operator of the call center or smart chat bots, assistants and so on. The work in details presents module of recognized text phonetic post-processing on the example of the Russian languages. This is improvement of existing post-processing submodule used application of different Stemming methods and stochastic keyword ranking using weights table. The phonetic analyze submodule uses word transformations and analyze of phoneme similarity using Levenshtein distance algorithm. © 2023 American Institute of Physics Inc.. All rights reserved.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85176766573

U2 - 10.1063/5.0162428

DO - 10.1063/5.0162428

M3 - Conference article

VL - 2849

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 190002

ER -

ID: 48547492