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语音识别在英语发音纠错中的应用 Title:ApplicationsofVoiceRecognitioninEnglishPronunciationErrorCorrection Abstract: Withtherapidadvancementoftechnology,voicerecognitionhasgainedsignificantpopularityinvariousdomains,includinglanguagelearningandeducation.ThispaperaimstoexploretheapplicationsofvoicerecognitiontechnologyinEnglishpronunciationerrorcorrection.Thepurposeistodemonstratehowthistechnologycaneffectivelyassistlearnersinimprovingtheirpronunciationskills.Additionally,challengesandlimitationsassociatedwithvoicerecognitionwillbediscussedalongwithpotentialfuturedevelopments. 1.Introduction 1.1Background Pronunciationplaysacrucialroleinlanguagelearning,especiallyinthecaseofEnglishasaSecondLanguage(ESL)learners.Accuratepronunciationenhancescommunicationandcomprehensionskills,leadingtoeffectivelanguageacquisition.However,learnersoftenfacedifficultiesinrecognizingandcorrectingtheirpronunciationerrorsduetothelackofimmediatefeedbackandevaluation.Traditionalmethodsofpronunciationcorrection,suchasrelyingonteachersornon-interactivelanguagelearningresources,oftenfailtoprovidereal-timefeedbackandpersonalizedguidance. 1.2Purpose ThepurposeofthispaperistohighlighttheapplicationsofvoicerecognitiontechnologyinEnglishpronunciationerrorcorrection.Byutilizingvoicerecognition,learnerscanreceiveimmediateandaccuratefeedback,enablingthemtoself-correcttheirpronunciationerrorsindependently.Thistechnologyoffersapersonalizedandinteractiveapproachtolanguagelearning,enhancingtheoveralllearningexperience. 2.VoiceRecognitionTechnology 2.1Overview Voicerecognitiontechnology,alsoknownasspeechrecognitionorspeech-to-texttechnology,convertsspokenlanguageintowrittentext.Itinvolvescomplexalgorithmsanddatabasestoaccuratelyrecognizeandinterprethumanspeechpatterns.Thetechnologyhasmadesignificantadvancementsinrecentyears,withapplicationsrangingfromvirtualassistantstotranscriptionservices. 2.2AdvantagesinPronunciationCorrection Voicerecognitiontechnologyoffersseveraladvantagesinthecontextofpronunciationcorrection: a)Real-t