Рақамли технологияларнинг назарий ва амалий масалалари Ҷилди 6 № 4 (2023) · Саҳифаҳои 47-52
Methods of Voice Commands Recognition
Nurimov, P.B.
Аннотатсия
This 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.
voice signalrecognition voice commandsfeature extractionSupport vector machinesGaussian mixture modelovoz signaliovozli buyruqlarni tanib olishbelgilar toʻplamini ajratishtayanch vektorlar mashinalariGaus aralashma modeli
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