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Experiment1-Results
Model
PhoneAccuracy
PhoneCorrect
Tandem[monophone]
%
%
Tandem[triphone]
%
%
CRF[monophone]
%
%
CRFsystemtrainedonmonophoneswiththesefeaturesachievesaccuracysuperiortoHMMonmonophones
CRFcomesclosetoachievingHMMtriphoneaccuracy
Experiment2
Goals:
ApplyCRFmodeltophoneclassifierdata
ApplyCRFmodeltocombinedphonologicalfeatureclassifierdataandphoneclassifierdata
Performphonerecognition
CompareresultstothoseobtainedviaaTandemHMMsystem
Experiment2-Results
Model
PhoneAcc
PhoneCorrect
Tandem[mono](phones)
%
%
Tandem[tri](phones)
%
%
CRF[mono](phones)
%
%
Tandem[mono](phones/feas)
%
%
Tandem[tri](phones/feas)
%
%
CRF[mono](phones/feas)
%
%
NotethatTandemHMMresultisbestresultwithonlytop39featuresfollowingaprincipalcomponentsanalysis
Experiment3
Goal:
PreviousCRFexperimentsusedphoneposteriorsforCRF,andlinearoutputstransformedviaaKarhunen-Loeve(KL)transformfortheHMMsytem
ThistransformationisneededtoimprovetheHMMperformancethroughdecorellationofinputs
UsingthesamelinearoutputsastheHMMsystem,doourresultschange?
Experiment3-Results
Model
PhoneAccuracy
PhoneCorrect
CRF(phones)posteriors
%
%
CRF(phones)linearKL
%
%
CRF(phones)post.+linear
%
%
CRF(features)posteriors
%
%
CRF(features)linearKL
%
%
CRF(features)post+linear
%
%
CRF(features)linear(noKL)
%
%
Alsoshown–Addingbothfeaturesetstogetherandgivingthesystemsupposedlyredundantinformationleadstoagaininaccuracy
Experiment4
Goal:
PreviousCRFexperimentsdidnotallowforrealignmentofthetraininglabels
BoundariesforlabelsprovidedbyTIMIThandtranscribersusedthroughouttraining
HMMsystemsallowedtoshiftboundariesduringEMlearning
Ifweallowforrealignmentinourtrainingprocess,canweimprovetheCRFresults?
谢谢!