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SYSTEM COMBINATION AND SCORE NORMALIZATION FOR SPOKEN TERM DETECTION
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm1.pdf13 Jun 2013: First, we show score normaliza-tion methodology that improves in average by 20% keyword searchperformance. ... 20–27. [20] X. Cui, J. Xue, X. Chen, P. A. Olsen, P. -
IB-interestpoints.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout2.pdf10 May 2013: Sig. nal. Sigma = 20. As σ increases, the signal is smoothed more andmore, and only the central edge survives. ... This discontinuity canbe detected using correlation. 20 Engineering Part IB: Paper 8 Image Matching. -
An Explicit Independence Constraint for Factorised Adaptation in…
mi.eng.cam.ac.uk/~mjfg/wang_is2013.pdf13 Jun 2013: System wsj1 dt wsj0 dt wsj0 etMST 23.3 15.7 14.9CAT 20.3 13.3 13.0. ... 20, no. 6, pp. 1713–1724, 2012. [8] J. Latorre, V. Wan, M. -
A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 Jun 2013: 20, no. 8, pp. 2252–2264, 2012. [10] H. Soltau, G. Saon, and B. ... Interspeech, 2011, pp. 1433–1436. [20] D. Can, E. Cooper, A. Sethy, C. -
KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…
mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf27 Mar 2013: Here, the HMM parameters λ associatedwith the kernel k are modified to represent the target acousticenvironment [20]. ... To compare with previouslypublished results, this paper follows the same setup in [20],including the configurations of MFCCs and -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/flego_icassp12.pdf13 Jun 2013: The same trends phone-. System A B C D avgVAT 8.1 13.5 11.6 20.5 15.98. -
draft21.dvi
mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf7 Nov 2013: Pashto 104 12 44 20 28 20. Turkish 105 10 42 26 19. ... and Language Processing, vol. 20, no. 3, pp. 875–887, 2012. [31] S. -
A CONFIDENCE-BASED APPROACH FOR IMPROVING KEYWORD HYPOTHESIS SCORES…
mi.eng.cam.ac.uk/~mjfg/seigel_ICASSP2013.pdf13 Jun 2013: The model alsoallows for continuous features to be represented using spline featurefunctions [20], which have been shown to yield good performancefor confidence estimation with CRFs in previous work [16]. ... 45, no. 1-3, pp. 503–528, Aug. 1989. [20] -
Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, …
mi.eng.cam.ac.uk/~mjfg/yang_is2013.pdf13 Jun 2013: Thesampling process of all other parameters is similar to the meth-ods discussed in [14, 19, 20]. ... 9, no. 2, pp. 249–265, 2000. [20] Carl Edward Rasmussen and Zoubin Ghahramani, “Infinite mix-tures of Gaussian process experts,” in NIPS, 2001, pp. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/wang_is2012.pdf13 Jun 2013: add. — VTS RVTSJ. —clean 7.1 6.9 7.3rest. 60.0 19.5 20.0.
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