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时间:2019-02-28
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1、MicrophoneArrayProcessingForRobustSpeechRecognitionMichaelL.SeltzerPh.D.ThesisProspectusSubmittedtotheDepartmentofElectricalandComputerEngineeringinPartialFulfillmentoftheRequirementsfortheDegreeofDoctorofPhilosophyatCarnegieMellonUniversityPittsburgh,PennsylvaniaJune2001i1.Introduction......
2、.............................12.ReviewofPreviousMicrophoneArrayProcessingStrategiesforSpeechRecognition.....32.1ArrayProcessingMethods............................32.2SpeechRecognitionCompensationMethods....................63.PreliminaryWorkinRecognizer-basedArrayProcessing................93.1
3、Filter-and-sumarray-processing.........................93.2SpeechRecognition-basedFilterCalibration...................103.3Experimentalresults.............................134.ProposedWork.................................184.1ReverberationCompensation..........................184.2ImprovedObje
4、ctiveFunction.........................184.3UnsupervisedProcessing...........................194.4IncorporationofConfidence..........................194.5FilterAdaptation..............................194.6AlternativeObjectivefunctions.........................204.7ApplicationtoSingle-ChannelSpe
5、ech......................205.ThesisGoalsandTimetable............................215.1ResourcesandDatabases...........................215.2ExpectedResultsandContributionsofThesis...................215.3PreliminaryTimetableofWork.........................22References.............................
6、.......231.Introduction11.IntroductionState-of-the-artspeechrecognitionsystemsareknowntoperformreasonablywellwhenthespeechsig-nalsarecapturedinanoise-freeenvironmentusingaclose-talkingmicrophonewornnearthemouthofthespeaker.Theprogressofsuchsystemshasreachedthepointwhererealspeechrecognitionsy
7、stemshavebeendeployedinthemarketplaceforavarietyofuses.Asrecognitionperformancecontinuestoimprove,itisexpectedthatdemandforsuchsystemswillfurtherincrease.However,manyofthetargetapplicationsforthistechnologydonottakeplaceinnoise-freeenvironmen
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