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基于语音识别的英语口语语音评分机制研究.docx

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基于语音识别的英语口语语音评分机制研究 Title:ResearchonEnglishOralProficiencyAssessmentMechanismbasedonSpeechRecognitionTechnology Abstract: Oralproficiencyassessmentisacrucialaspectofsecondlanguagelearningandteaching.Traditionalmethodsofassessingoralproficiencyrelyheavilyonsubjectiveevaluationsbyhumanexaminers,whichcanbetime-consuming,inconsistent,andbiased.Theadvancementsinspeechrecognitiontechnologyhaveopenednewpossibilitiesfordevelopingcomputer-basedandobjectivemeasuresforassessingoralproficiency.Thispaperaimstoexploreandanalyzethecurrentstateofresearchonthedevelopmentandimplementationofspeechrecognition-basedEnglishoralproficiencyassessmentmechanisms. 1.Introduction: Oralproficiencyisessentialforeffectivecommunicationinasecondlanguage.Traditionaloralproficiencytestsmainlyrelyonhumanexaminerswhoevaluatetheperformanceofthetesttakersbasedonpredefinedcriteria.However,thisapproachhasseverallimitations,includingsubjectivityandinconsistencyinscoring.Withtheadventofspeechrecognitiontechnology,researchershavestartedtoexplorethepotentialofusingautomatedsystemstoassessoralproficiencyobjectively.Thispaperaimstoreviewtheexistingliteratureonthedevelopmentofspeechrecognition-basedassessmentmechanismsanddiscusstheiradvantagesandchallenges. 2.SpeechRecognitionTechnology: Thepaperprovidesanoverviewofspeechrecognitiontechnology,includingitsbackground,principles,andapplications.Itexplainstheworkingmechanismofspeechrecognitionsystems,highlightingthechallengesassociatedwithaccuratelyconvertinghumanspeechintotext.Additionally,itdiscussesthedifferenttypesofspeechrecognitionsystems,suchasspeaker-independentandspeaker-adaptivesystems,andtheirrelevancetooralproficiencyassessment. 3.ExistingSpeechRecognition-basedAssessmentMechanisms: Thissectionreviewsandanalyzesthecurrentstateofresearchonspeechrecognition-basedassessmentmechanismsforEnglishoralproficiency.Itexploresvariousmethodsandapproachesemployedindevelopingthesemechanisms,includingacousticmodeling,languagemodeling,andphoneticalignment.Thepaperdiscuss