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Royal Society Meeting on Geometry in Computer Vision
mi.eng.cam.ac.uk/~cipolla/royal_society.html28 Nov 2006: Session 3: Grouping and Matching. Thursday 24 July, 09.30-12.30 (Chair: Dr A. ... Session 4: Geometry and Statistics. Thursday 24 July, 14.00-17.40 (Chair: Dr R. -
Machine Learning for Speech & LanguageProcessing Mark Gales 28 ...
mi.eng.cam.ac.uk/~mjfg/FCSW_talk.pdf19 Jul 2006: 5. 10. 108. 64. 20. 24. 68. 10. 0. 0.05. 0.1. -
Modelling Dependencies in SequenceClassification: Augmented…
mi.eng.cam.ac.uk/~mjfg/gales_UEA06.pdf22 Nov 2006: Cambridge UniversityEngineering Department. University of East Anglia Seminar 24. Modelling Dependencies in Sequence Classification: Augmented Statistical Models. ... Comp.EER (%). GMM A-GMM. 128 12.17 8.62256 11.24 7.88512 11.13 7.481024 10.43† 7.31. -
AUGMENTED STATISTICAL MODELS FOR SPEECH RECOGNITION M.I. Layton and…
mi.eng.cam.ac.uk/~mjfg/layton_ICASSP06.pdf22 Nov 2006: HMM ML – 29.4 27.3C-Aug ML CML 24.2 –. HMM MMI – 25.3 24.8C-Aug MMI CML 23.4 –. Table 2. Classification error on the TIMIT core test ... A point of particular interest is that despite poorer statesegmentation—the sufficient statistics fix the -
Augmented Statistical Models for SpeechRecognition Mark Gales &…
mi.eng.cam.ac.uk/~mjfg/Edin_talk.pdf5 Jul 2006: Cambridge UniversityEngineering Department. Trajectory Models For Speech Processing Workshop 24. Augmented Statistical Models for Speech Recognition. -
Face Set Classification using Maximally Probable Mutual Modes Ognjen…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ICPR06.pdf29 Apr 2006: average 92.0 64.1 58.3 17.0std 7.8 9.2 24.3 8.8. video sequences of the person in arbitrary motion (signif-icant translation, yaw and pitch, ... cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002. -
Temporally Varying Model Parameters forLarge Vocabulary Continuous…
mi.eng.cam.ac.uk/~mjfg/sim_INTER05.pdf22 Nov 2006: ãtj = max{atj , amin} (24). whereãtj is the floored scale factor andamin is the scale floor.In this paper,amin of 0.1 was used. -
Complementary System Combination andGeneration for ASR Mark Gales 20…
mi.eng.cam.ac.uk/~mjfg/mjfg_tcstar.pdf5 Jul 2006: Complementary System Selection (“Random”). • Variability to systems can be obtained by varying for example:– segmentation and clustering [3]– acoustic model decision tree [24]– acoustic model context (tri/quin-phone) [4]– ... Cambridge -
EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...
mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_eg06.pdf19 Sep 2006: Cambridge University Press, 1999. [FB81] FISCHLER M., BOLLES R.: Random sample consensus:A paradigm for model-fitting with applications to image analysisand automated cartography.CACM 24, 6 (1981), 381–395. -
DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL TELEPHONESPEECH …
mi.eng.cam.ac.uk/~mjfg/gales_ICASSP05.pdf22 Nov 2006: Devel-opment data, dev04, was made available for this task comprising2 hours of data, 24 conversations.
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