基于贝叶斯的管制语音指令分类算法的设计与实现

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中图分类号：TP312；V355.1 文献标识码：A 文章编号：2096-4706（2025）17-0115-04

Abstract：Inorder toachieve thepurposeofunderstanding the intentionofcontrol voice，thispaperstudies the designand implementationofBayesian-basedcontrolvoiceinstructionclasifcationalgorithm.Firstly，bylabelingthecontrolvoicedata therunway-relatedcontrolinstructionsaredividedintosevencategories.Secondly，thetraningdataoftheBayesianmodelare obtainedbymappingthelabeldataandencodingthecontrolspeechdata.Finall，theBayesianclasiferisotaindbymodel training. In addition，this paper testsand verifies throughasetof experimental data.Theresults showthat theaccuracyof the Bayesian classifier is 86.67% ，which proves that the algorithm of using Bayesian method to realize the classification of control voice text is feasible.

Keywords：Bayesian; control voice instruction; classification algorithm

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