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USE OF GAUSSIAN SELECTION IN LARGE VOCABULARY CONTINUOUSSPEECH…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_icslp96.pdf9 Aug 2005: A good approximate loglikelihood score was found empirically. To test whether the GS performance degrades below the 1.6 tailthreshold due to the state likelihoods of components within a se-lected -
A Comparative Study of Methods forPhonetic Decision-Tree State…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro97.pdf9 Aug 2005: Section 5. evaluates methods using the SQALEUS-English test set and Section 6. -
Detection of Human Faces under Scale, Orientation and Viewpoint ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_2.pdf9 Aug 2005: c) aspectratio = 1:1 (201 points). We do a further test by varying the aspect ratio of thepreattentive filter. -
Likelihood Models for Template MatchingUsing the PDF Projection…
mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc04.pdf8 Aug 2005: Thisis the underlying principle of the Likelihood Ratio Test (LRT). It could be easily shownthat using likelihood ratios minimizes the Bayesian error in two-class decision problems[20]. -
TOWARDS IMPROVED LANGUAGE MODEL EVALUATION MEASURES Philip Clarkson…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_eurospeech99.pdf9 Aug 2005: The calculation of perplexity is based on the probability thatthe language model assigns to some test text. ... Thus perplexity is based solely on the probabilities ofthe words which actually occur in the test text. -
A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/broadhurst_iccv01.pdf9 Aug 2005: hood estimate, then an OpenGL implementation is possible.The model is repeatedly rendered using the 0 -test, with anincreasing probability threshold. -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf8 Aug 2005: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_icassp96.pdf9 Aug 2005: Test-set perplexity. Training-set perplexity. Test-set, count thresholdprune. 1e-4. 5e-5. 2.5e-5. 1e-5. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/reinhard_icassp98.pdf9 Aug 2005: cd/opal/timit/test/dr4/mbns0/sx320 ). Ampl. itude. h#dhaxn ih r ixs ih nxix gclgaa gclm ey n aa pclbiy w axth ix n w ao kclk ix ng -
A Modular Q-Learning Architecture for Manipulator Task Decomposition…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/tham_ml94.pdf9 Aug 2005: We carried out three additional experiments to test the gen-erality and robustness of our approach:. -
DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf1 Apr 2005: Furthermore, we excludedtdt4 data after 15 Jan-uary 2001 so not to have temporal overlap of acoustic or languagemodel data with the development test sets. ... The resultsstill showed consistent gains over various test sets. Finally we usedthe -
University of Cambridge, 3D Ultrasound Research Sequential 3D…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/3dus_tutorial.pdf9 Aug 2005: The fronto-parallel view reveals how the inter-section tests can be performed efficiently. -
3D ELASTOGRAPHYUSING FREEHAND ULTRASOUND J. E. Lindop, G. M. ...
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr531.pdf28 Jul 2005: As a test,EPZS was applied to synthetic data of the same form as used in Figure 4, where much higherstrains were simulated. -
PSEUDO-ARTICULATORY SPEECH SYNTHESIS FOR RECOGNITIONUSING AUTOMATIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icslp96.pdf9 Aug 2005: citation words, number sequences and prose passageswere used, with one quarter of the data ( 1500 phonemes) setaside as a test set. ... 6. RESULTSResults for both phoneme and word recognition over 50 test utter-ances with. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kapadia_thesis.pdf9 Aug 2005: " $#%& " ' )(. # ,-. /. 0214365785:9<;1>=?=?@A9B@. " DC E&F'GHE&IIF. 0J78KLKM@ANLOQPROS7T1>5UKLV:W X<7YOLOS@[Z<O1OS]:@_257Y>@[NKL7TOa<1Bb;cPdXeWN7?Z:9B@bf1BNgOQ]:@hZ:@A9BNL@A@1Bb021jikO1BNg1Bbl+]78=T1>KM1Bm ]na. "!#$!&%(')!,-"./&!%1032546%879')7%1":; -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/cham-cipollaPAMI99.pdf9 Aug 2005: ¤! "#. ]Bzv /bxeuv]s#za#m0bqBc0u6jtl%atcm$ bxeuv]OÀYevebfatc]bfwÖ]bfewWj#ceu}aYc0u6bdug]zvYeryYwuugj%'aYcym. free hingefixed hinge. residual displacements. test break location. -
Speckle Classification forSensorless Freehand 3D Ultrasound P.…
mi.eng.cam.ac.uk/reports/svr-ftp/hassenpflug_tr513.pdf16 Mar 2005: Further details andan implementation of the K-S test can be found in [27]. ... 10. 20. 30. 40. 50threshold for KS test statistics. threshold for KS test statistics. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_eurospeech97.pdf9 Aug 2005: Text. wfreq2vocab. Vocab. Test text. Perplexity. Id N-gram. LanguageModel. text2idngram. idngram2lm. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wong_tr108.pdf9 Aug 2005: high-noise test speechunknown utterance from. high-noise speech. 10 hmms modelling. adjusted set of. ... each state known. cepstral means in. mse. normalised. accumulate. digit-dependentdigit-dependent. noisy test. -
THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf10 Jan 2005: nist.gov/speech/tests/rt/rt2003/spring/docs/rt03-spring-eval-plan-v4.pdf , 25th February 2003. ... 3] NIST, “Fall 2004 Rich Transcription (RT-04F) EvaluationPlan,” http://www.nist.gov/speech/tests/rt/rt2004/fall/docs/rt04f-eval-plan-v14.pdf , 30th
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