Алгоритм розпізнавання  природного мовного сигналу

Олександр Русланович Осадчук

doi:10.20535/2617-0965.eae.228077

Vol. 4 · Issue 3 · 2021 Apr 24, 2026 Acoustical devices and systems

Natural Speech Signal Recognition Algorithm

Oleksandr Ruslanovych Osadchuk Corresponding National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine

Pages228077-1 - 227968-4 PublishedApr 24, 2026 LicenseOpen Access

pdf (Ukrainian)

VOL 4 · ISS 3 · 2021 View issue

Abstract

Speech recognition technologies are becoming more and more part of our lives, providing a convenient way to control a variety of electronic devices - voice control. One of the current problems that is solved in the development of such control systems is the problem of insufficient accuracy of voice command recognition. Improvements are being made to increase reliability, independence from individual voice characteristics, and reduce the negative impact of background noise on recognition quality.

The paper presents an algorithm for recognizing and processing user intentions using a neural network built on the principle of understanding natural language and processing audio signals for use in the user support system

Keywords

#user intent #recognition algorithm #natural language processing #neural network #understanding of natural lan guage #user support

References

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Dialogflow URL: https://cloud.google.com/dialogflow/cx/docs
“8 Leading Language Models For NLP In 2020.” URL: https://www.topbots.com/leading-nlp-language-models-2020/.
J.-H. Lee, J.-H. Lee, S.-G. Sohn, J.-H. Ryu, and T.-M. Chung, “Effective Value of Decision Tree with KDD 99 Intrusion Detection Datasets for Intrusion Detection System,” in 2008 10th International Conference on Advanced Communication Technology, 2008, pp. 1170–1175, DOI: 10.1109/ICACT.2008.4493974.
“What is Natural Language Processing (NLP)? - Twilio.” URL: https://www.twilio.com/docs/glossary/what-natural-language-processing-nlp#what-about-semantic-analysis.
S. Peddabachigari, A. Abraham, C. Grosan, and J. Thomas, “Modeling intrusion detection system using hybrid intelligent systems,” J. Netw. Comput. Appl., vol. 30, no. 1, pp. 114–132, Jan. 2007, DOI: 10.1016/j.jnca.2005.06.003.
“Speech recognition - Wikipedia.” URL: https://en.wikipedia.org/wiki/Speech_recognition.
“Natural Language Understanding - IBM Cloud API Docs.” URL: https://cloud.ibm.com/apidocs/natural-language-understanding.
“Benchmarking Natural Language Understanding Systems: Google, Facebook, Microsoft, Amazon, and Snips | by Alice Coucke | Snips Blog | Medium.” URL: https://medium.com/snips-ai/benchmarking-natural-language-understanding systems-google-facebook-microsoft-and-snips-2b8ddcf9fb19.
L. N. Yasnitskiy, Vvedenie v Iskusstvennyiy Intellekt: Uchebnoe Posobie. Akademiya, 2010, ISBN: 978-5-7695-7042-1.
“Les concepts de base de Dialogflow pour écrire votre Chatbot | SoftFluent.” URL: https://www.softfluent.fr/blog/concepts-de-base-dialogflow-ecrire chatbot/.
Statcounter Global Stats 2020 URL: https://gs.statcounter.com/
Primeneniye golosovykh assistentov i chat-botov dlya biznesa URL: https://vc.ru/services/60540-primenenie-golosovyh-assistentovi-chat-botov-dlya-biznesa.
Marr, Bernard. How Artificial Intelligence IS Making Chatbots Better For Business. URL: https://www.forbes.com/sites/bernardmarr/2018/05/18/how artificialintelligence-ismaking-chatbots-better-for-businesses/#69638bae4e72.
Informatsionnyye potoki: ponyatiye, vidy i sushchnost' URL: https://studwood.ru/1987457/informatika/informatsionnye_potoki_ponyatie_vidy_suschnost.
M. Mutiwokuziva, M. Chanda, P. Kadebu, A. Mukwazvure, T. Gotora “A neural-network based chat bot” 2017 2nd International Conference on Communication and Electronics Systems (ICCES), 19-20 Oct 2017. – P. 212217. DOI: 10.1109/CESYS.2017.8321268

License

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§ 06 — Related

[1] Tekhnolohiya syntezu movlennya URL: https://www.understood.org/en/school-learning/assistive-technology/assistive-technologies-basics/text-to-speech-technology-what-it-is-and-how-it-works

[2] Dialogflow URL: https://cloud.google.com/dialogflow/cx/docs

[3] “8 Leading Language Models For NLP In 2020.” URL: https://www.topbots.com/leading-nlp-language-models-2020/.

[4] J.-H. Lee, J.-H. Lee, S.-G. Sohn, J.-H. Ryu, and T.-M. Chung, “Effective Value of Decision Tree with KDD 99 Intrusion Detection Datasets for Intrusion Detection System,” in 2008 10th International Conference on Advanced Communication Technology, 2008, pp. 1170–1175, DOI: 10.1109/ICACT.2008.4493974.

[5] “What is Natural Language Processing (NLP)? - Twilio.” URL: https://www.twilio.com/docs/glossary/what-natural-language-processing-nlp#what-about-semantic-analysis.

[6] S. Peddabachigari, A. Abraham, C. Grosan, and J. Thomas, “Modeling intrusion detection system using hybrid intelligent systems,” J. Netw. Comput. Appl., vol. 30, no. 1, pp. 114–132, Jan. 2007, DOI: 10.1016/j.jnca.2005.06.003.

[7] “Speech recognition - Wikipedia.” URL: https://en.wikipedia.org/wiki/Speech_recognition.

[8] “Natural Language Understanding - IBM Cloud API Docs.” URL: https://cloud.ibm.com/apidocs/natural-language-understanding.

[9] “Benchmarking Natural Language Understanding Systems: Google, Facebook, Microsoft, Amazon, and Snips | by Alice Coucke | Snips Blog | Medium.” URL: https://medium.com/snips-ai/benchmarking-natural-language-understanding systems-google-facebook-microsoft-and-snips-2b8ddcf9fb19.

[10] L. N. Yasnitskiy, Vvedenie v Iskusstvennyiy Intellekt: Uchebnoe Posobie. Akademiya, 2010, ISBN: 978-5-7695-7042-1.

[11] “Les concepts de base de Dialogflow pour écrire votre Chatbot | SoftFluent.” URL: https://www.softfluent.fr/blog/concepts-de-base-dialogflow-ecrire chatbot/.

[12] Statcounter Global Stats 2020 URL: https://gs.statcounter.com/

[13] Primeneniye golosovykh assistentov i chat-botov dlya biznesa URL: https://vc.ru/services/60540-primenenie-golosovyh-assistentovi-chat-botov-dlya-biznesa.

[14] Marr, Bernard. How Artificial Intelligence IS Making Chatbots Better For Business. URL: https://www.forbes.com/sites/bernardmarr/2018/05/18/how artificialintelligence-ismaking-chatbots-better-for-businesses/#69638bae4e72.

[15] Informatsionnyye potoki: ponyatiye, vidy i sushchnost' URL: https://studwood.ru/1987457/informatika/informatsionnye_potoki_ponyatie_vidy_suschnost.

[16] M. Mutiwokuziva, M. Chanda, P. Kadebu, A. Mukwazvure, T. Gotora “A neural-network based chat bot” 2017 2nd International Conference on Communication and Electronics Systems (ICCES), 19-20 Oct 2017. – P. 212217. DOI: 10.1109/CESYS.2017.8321268

Natural Speech Signal Recognition Algorithm

Abstract

Keywords

References

License

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