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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/piper_tr132.pdf9 Aug 2005: 6 /J/,. 6 (7@5KLM N0/ OP(!Q@O R. S7T0UGTWV:X?Y[Z]T0_a[X?V:X:YDYDTWYbBV:c?S7V:X?dbdbZUeSfgZhij_GZk7Z_7TDlX?U7_l]mcUonpGTWVGqhBiGTsrtTWT0rYDTWrtV:cvuxwzyowLhBTWd. ... OP/).O=$(: 4+,G) zK $'&D=(? 4+A2+4=1[,4A1@2 )? 3 #43,e O#@4+=/ =1 4+= /;4+4 ,42'2+),1;,,G/ -
Incremental on-line adaptation of POMDP-based dialogue managers…
mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf20 Feb 2018: the Q-function estimatewe expect during the process of learning and H is a linear op-erator that captures the reward lookahead from the Q-function(see Eq. -
Learning a Kinematic Priorfor Tr ee-Based Filterin g A. ...
mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc03.pdf23 Nov 2003: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu. -
./plot_entropy.eps
mi.eng.cam.ac.uk/~ar527/chen_is2017.pdf15 Jun 2018: In standard systems this issue would be addressed by op-timising the language model scale factor. -
Low-Resource Speech Recognition and Keyword-Spotting
mi.eng.cam.ac.uk/~mjfg/SPECOM_2017.pdf29 Nov 2017: 56/63. Summary plot MTWV vs TER for FLP (OP-2). • Examined performance with a consistent configuration57/63. -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT ��������� ��…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/freitas_tr313.pdf9 Aug 2005: jRAKJP7 uq?et 9&;m_&5;q]5 oP;et4optqBN917R?e<9msPBe9dtX%?=<9dl EAKyHg4tO;=>? ... iMAM?e>Ht4JPBmAM?7:>o 9;=9Jq?o 9;=>@t:7<B? Jus<bH A jAOJP7uq?=t 9;0 B AKo<oP;etqAO[I C4?e<9T? -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. ...
mi.eng.cam.ac.uk/~sjy/papers/scyo09.pdf20 Feb 2018: increases. Pop op-erations are then performed where possible, the tree is prunedand identical nodes are joined so that the number stays constantor decreases. ... Error bars indicate 99% con-fidence intervals. This demonstrates the competitiveness of the -
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mi.eng.cam.ac.uk/~ar527/malinin_acl2017.pdf19 Apr 2017: A rejection curve derived froma model should sit between the random and op-timal curves. -
Sample-efficient Actor-Critic Reinforcement Learningwith Supervised…
mi.eng.cam.ac.uk/~sjy/papers/sbug17.pdf20 Feb 2018: A comparison between the three op-tions is included in the experimental evaluation. ... whilst suffering initially.We hypothesise that the optimised SL pre-trainedparameters distributed very differently to the op-timal A2C ER parameters. -
IB-descriptors.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout3.pdf13 May 2013: The way to achieve this robustness is to utilize in-terest points in computing the descriptor as op-posed to the raw image data. -
Combining Tandem and Hybrid Systems for Improved Speech…
mi.eng.cam.ac.uk/~mjfg/interspeech14-rath.pdf23 Jun 2014: More specif-ically, for the IV search, each query is converted to a wordweighted finite state acceptor (WFSA) and a composition op-eration is carried out with the word index in -
Semantically Conditioned LSTM-based Natural Language Generation…
mi.eng.cam.ac.uk/~sjy/papers/wgms15.pdf20 Feb 2018: Recent workby Graves et al. (2014) has demonstrated that anNN structure augmented with a carefully designedmemory block and differentiable read/write op-erations can learn to mimic computer programs.Moreover, the -
MVA'94 IAPR Workshop on Machine Vision Applications Dec. 13-15,…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-MVA-pointing.pdf13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/shadafan_tr127.pdf9 Aug 2005: 8y#yY9¥5n7Y-i &cB9 7ypxr8|mAYlr 8yY?nron8p 9 7yYyY9Y|v5n7Yxaq | J q8#lYy nxrx<rÓpnncnr3p i qMYl YYx<r_pnnWi ÎlxA ' p1yY@6nrY2:Õp #l OEByYAnxr 2:;BBrvAn8#@- ... RnrW|#Yxßm#l?rM-2:6y qr pWD'n7Ïr TZn Op' ¥,-Bp-YlÀ}/Àrx1x<ßxBi. }. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/senior_thesis.pdf9 Aug 2005: 8X;OP>L,72]N [=r687[FTP>L H Q LG;3=@DGF 7N [L DGQ:]. ... 1=@DED.9[=2 =@DML,_:= 9A Y V=OP-L F [P>L,H FPOC.l_:= = ;>=LKZ 7KCEPOCML,7U? -
A Network-based End-to-End Trainable Task-oriented Dialogue System…
mi.eng.cam.ac.uk/~sjy/papers/wgmv17.pdf20 Feb 2018: On-line active reward learning for policy op-timisation in spoken dialogue systems. -
LEARNING BETWEEN DIFFERENT TEACHER AND STUDENT MODELS IN ASR ...
mi.eng.cam.ac.uk/~mjfg/ALTA/ASRU2019_TS.pdf20 Dec 2019: Another possibility is that the ex-ponentially decaying learning rate schedule and gradient-based op-timisation that were used may not have allowed the student to reachan optimum, thereby yielding a -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_sst96.pdf9 Aug 2005: #"$%&')(,-.%%&( 0/-#1""324%5/246"78&9:5. ;<8<'7>=@?9A@BA@BDCE<8F@<'8=HGIBDJK=B&L>MNMNO>PQ'/I JRI =BSA@BDCT8=G>=UVI ONJW(XY=ZL@Q. "M>L[AXYU]M>BDU=>_8B?IBDMNM>XaIBD?HQ.BI bDM>XcJ4I Ued=>_#'A@]G[XaI C?@M. ;'&'f2#PI JL[A@L[M>XCMNJKO>XgI,G[MNJABDMNhA@i? @ -
TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf25 Mar 2005: it isalso possible to generate the CVOS members directly from the op-timum speaker mapping between the two inputs. -
MULTILINGUAL REPRESENTATIONS FOR LOW RESOURCE SPEECH RECOGNITION AND…
mi.eng.cam.ac.uk/~mjfg/asru15_cui.pdf23 May 2016: Interspeech, 2014. [25] Richard H Byrd, Gillian M Chin, Will Neveitt, and Jorge No-cedal, “On the use of stochastic hessian information in op-timization methods for machine learning,” SIAM Journal
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