Methods of Voice Commands Recognition

Simple item page
dc.creatorNurimov, P.B.
dc.date2023-12-26
dc.date.accessioned2024-03-25T11:46:38Z
dc.date.available2024-03-25T11:46:38Z
dc.descriptionThis article discusses the use of SVM and GMM methods to build voice command models to solve the problem of voice command recognition. Voice recognition technology is available in a wide range of applications, including voice assistants, control systems and more. The article presents an approach based on the use of SVM and GMM methods for modeling and classifying voice commands. The article presents experiments on a dataset of Karakalpak voice commands. A comparative analysis of the performance of SVM and GMM was conducted in terms of recognition accuracy and overall performance based on feature set extraction algorithms. Experimental results show that SVM and GMM methods can achieve high accuracy in recognizing voice commands. Therefore, this paper presents a comparison between SVM and GMM methods for voice command recognition.en-US
dc.descriptionUshbu maqola ovozli buyruqlarni tanib olish masalasi uchun ovozli buyruqlar modelini qurish uchun SVM va GMM usullaridan foydalanish koʻrib chiqilgan. Ovozli buyruqlarni tanib olish texnologiyasi keng koʻlamli ilovalarda mavjud, jumladan ovozli yordamchilar, boshqaruv tizimlari va boshqalar. Maqolada ovozli buyruqlarni modellashtirish va tasniflash uchun SVM va GMM usullaridan foydalanishga asoslangan yondashuv taqdim etilgan. Maqolada qoraqalpoq tilidagi ovozli buyruqlar ma’lumotlar toʻplami boʻyicha tajribalar taqdim etilgan. Tanib olish aniqligi va uning belgilar toʻplamini ajratib olish algoritmlariga asoslangan umumiy samaradorlik nuqtai nazaridan SVM va GMM koʻrsatkichlarining qiyosiy tahlillari oʻtkazildi. Eksperimental natijalar shuni koʻrsatadiki, SVM va GMM usullari ham ovozli buyruqlarni tanib olishda yuqori aniqlikga erishishi mumkin. Xulosa qilib aytganda, ushbu maqolada ovozli buyruqlarni tanib olish masalasida SVM va GMM usullarining taqqoslanishi keltirilgan.ru-RU
dc.formatapplication/pdf
dc.identifierhttps://ijdt.uz/index.php/ijdt/article/view/133
dc.identifier10.62132/ijdt.v6i4.133
dc.identifier.urihttps://dspace.umsida.ac.id/handle/123456789/36088
dc.languagerus
dc.publisherSamarkand branch of TUITru-RU
dc.relationhttps://ijdt.uz/index.php/ijdt/article/view/133/88
dc.rightsCopyright (c) 2023 Nurimov P.B.ru-RU
dc.rightshttps://creativecommons.org/licenses/by/4.0ru-RU
dc.sourceINTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED ISSUES OF DIGITAL TECHNOLOGIES; Vol. 6 No. 4 (2023): International Journal of Theoretical and Applied Issues of Digital Technologies; 47-52en-US
dc.sourceМеждународный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий; Том 6 № 4 (2023): Международный журнал теоретических и прикладных вопросов цифровых технологий; 47-52ru-RU
dc.source2181-3094
dc.source2181-3086
dc.subjectvoice signalen-US
dc.subjectrecognition voice commandsen-US
dc.subjectfeature extractionen-US
dc.subjectSupport vector machinesen-US
dc.subjectGaussian mixture modelen-US
dc.subjectovoz signaliru-RU
dc.subjectovozli buyruqlarni tanib olishru-RU
dc.subjectbelgilar toʻplamini ajratishru-RU
dc.subjecttayanch vektorlar mashinalariru-RU
dc.subjectGaus aralashma modeliru-RU
dc.titleMethods of Voice Commands Recognitionen-US
dc.titleOvozli buyruqlаrni tаnib olish usullariru-RU
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeРецензированная статьяru-RU
Files
Collections
International Journal of Theoretical and Applied Issues of Digital Technologies