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Voice-Controlled Intelligent Personal Assistant for Call-Center Automation in the Uzbek Language

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dc.contributor.authorNURALIEVICH, MUKHAMADIYEV ABDINABI-
dc.contributor.authorKhujayarov, Ilyos-
dc.contributor.authorCho, Jinsoo-
dc.date.accessioned2023-12-20T03:30:17Z-
dc.date.available2023-12-20T03:30:17Z-
dc.date.issued2023-12-
dc.identifier.issn2079-9292-
dc.identifier.issn2079-9292-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89696-
dc.description.abstractThe demand for customer support call centers has surged across various sectors due to the pandemic. Yet, the constraints of round-the-clock human services and fluctuating wait times pose challenges in fully meeting customer needs. In response, there's a growing need for automated customer service systems that can provide responses tailored to specific domains and in the native languages of customers, particularly in developing nations like Uzbekistan where call center usage is on the rise. Our system, "UzAssistant," is designed to recognize user voices and accurately present customer issues in standardized Uzbek, as well as vocalize the responses to voice queries. It employs feature extraction and recurrent neural network (RNN)-based models for effective automatic speech recognition, achieving an impressive 96.4% accuracy in real-time tests with 56 participants. Additionally, the system incorporates a sentence similarity assessment method and a text-to-speech (TTS) synthesis feature specifically for the Uzbek language. The TTS component utilizes the WaveNet architecture to convert text into speech in Uzbek.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleVoice-Controlled Intelligent Personal Assistant for Call-Center Automation in the Uzbek Language-
dc.typeArticle-
dc.identifier.wosid001116652800001-
dc.identifier.doi10.3390/electronics12234850-
dc.identifier.bibliographicCitationELECTRONICS, v.12, no.23-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85179330529-
dc.citation.titleELECTRONICS-
dc.citation.volume12-
dc.citation.number23-
dc.type.docTypeArticle-
dc.publisher.location스위스-
dc.subject.keywordAuthorspeech technologies-
dc.subject.keywordAuthorcall center-
dc.subject.keywordAuthorspeech corpus-
dc.subject.keywordAuthorUzbek language-
dc.subject.keywordAuthorspeech-to-text-
dc.subject.keywordAuthortext-to-speech-
dc.subject.keywordAuthorspeech recognition-
dc.subject.keywordAuthorspeech synthesis-
dc.subject.keywordAuthorIVR-
dc.subject.keywordAuthorpublic services-
dc.subject.keywordPlusARTIFICIAL-INTELLIGENCE-
dc.subject.keywordPlusALEXA-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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NURALIEVICH, MUKHAMADIYEV ABDINABI
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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