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Inventi Impact: Audio, Speech & Music Processing

Articles

  • Inventi:easm/31904/20
    A Novel Method for Recognizing Vietnamese Voice Commands on Smartphones with Support Vector Machine and Convolutional Neural Networks
    Research 2020 : July - September
    Quang H Nguyen, Tuan-Dung Cao

    This paper will present a new method of identifying Vietnamese voice commands using Google speech recognition (GSR) service\nresults. The problem is that the percentage of correct identifications of Vietnamese voice commands in the Google system is not\nhigh. We propose a supervised machine-learning approach to address cases in which Google incorrectly identifies voice\ncommands. First, we build a voice command dataset that includes hypotheses of GSR for each corresponding voice command.\nNext, we propose a correction system using support vector machine (SVM) and convolutional neural network (CNN) models.\nThe results show that the correction system reduces errors in recognizing Vietnamese voice commands from 35.06% to 7.08%\nusing the SVM model and 5.15% using the CNN model.

    How to Cite this Article
    Attribution/ CC Compliant Citation: Nguyen, Quang H., and\nTuan-Dung Cao. \"A Novel Method for Recognizing Vietnamese\nVoice Commands on Smartphones with Support Vector Machine\nand Convolutional Neural Networks.\" Wireless Communications\nand Mobile Computing 2020 (2020).\nhttps://doi.org/10.1155/2020/2312908\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and\npagination were modified while adapting this article.
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