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DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…
mi.eng.cam.ac.uk/~sjy/papers/gkty15.pdf20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [13] M Gašić, C Breslin, M Henderson, D Kim, M Szummer,B Thomson, P Tsiakoulis, and S Young, “POMDP-based dia-logue manager adaptation -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, JANUARY…
mi.eng.cam.ac.uk/~sjy/papers/gayo14.pdf20 Feb 2018: An advantage of this sparsification approach is that itenables non-positive definite kernel functions to be used in theapproximation, for example see [24]. ... It has already beenshown that active learning has the potential to lead to fasterlearning [24] -
Optimisation for POMDP-based Spoken Dialogue Systems M. Gašić, F.…
mi.eng.cam.ac.uk/~sjy/papers/gjty12.pdf20 Feb 2018: To obtain a closed formsolution of (24), the policy π must be differentiable with respect to θ. ... 10. To lower the variance of the estimate of the gradient, a constant baseline, B, can beintroduced into (24) without introducing any bias [22]. -
3_2_ransac
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-ImageStitching.pdf27 Oct 2020: x̃2 = [ R2 | 0 ] X̃ = R2X (A.24). -
Template.dvi
mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf22 Mar 2017: Mongolian FLP 511K 24.0K - 4.19 12.19WEB 139M 199.8K 0.93 2.10 5.62. ... 24,no. 11, pp. 2146–2157, 2016. [15] Xie Chen, Yongqiang Wang, Xunying Liu, Mark Gales, andP. -
MULTILINGUAL REPRESENTATIONS FOR LOW RESOURCE SPEECH RECOGNITION AND…
mi.eng.cam.ac.uk/~mjfg/asru15_cui.pdf23 May 2016: The input features are 24-dimensionallog Mel magnitude spectrum filter banks, pitch, probability of voic-ing, and their derivatives. ... 24, no. 3, pp. 433–444, 2010. [36] Nobuyasu Itoh, Tara N Sainath, Dan Ning Jiang, Jie Zhou, andBhuvana Ramabhadran, -
Towards Learning Orientated Assessment for Non-native Learner Spoken…
mi.eng.cam.ac.uk/~kmk/presentations/ALTA_Sheffield_20190306.pdf8 Mar 2019: 300 300. 25.5. 400 24.5. 400 24.4. ASR on Non-native Speech (2). • ... Thai dh d 7.24 oh aa 5.21. 30. • Top 2 recurrent substitution errors for speakers in each L1. -
IEEE TRANS. ON ASLP, TO APPEAR, 2011 1 Continuous ...
mi.eng.cam.ac.uk/~sjy/papers/yuyo11.pdf20 Feb 2018: This mixed excitation model hasbeen shown to give significant improvements in the quality ofthe synthesized speech [24]. ... 63.5% 36.5%Male. CF-HMM. 75.5% 24.5%. 0% 25% 50% 75% 100%. Female. -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~sjy/papers/inyo0920 Feb 2018: Surprised Sad Angry. wlex 13.67 12.30 18.74wwpos 24.52 11.29 18.47wspos 11.33 4.91 3.31wpofs 1.13 4.82 8.82wppofs 24.27 -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 Feb 2018: Computer Speech and Language,24(4):562–588. B Thomson, M Gašić, M Henderson, P Tsiakoulis, andS Young. ... Computer Speech and Language, 24(2):150–174. B Zhang, Q Cai, J Mao, E Chang, and B Guo.2001. -
More Robust Schema-Guided Dialogue State Tracking via…
mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf1 Mar 2023: lightweight data augmentation for lowresource slot filling and intent classification. In Pro-ceedings of the 34th Pacific Asia Conference on Lan-guage, Information and Computation, PACLIC 2020,Hanoi, Vietnam, October -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: Thomson and Young2010] Blaise Thomson and SteveYoung. 2010. Bayesian update of dialogue state:A pomdp framework for spoken dialogue systems.Computer Speech and Language, 24:562–588. -
Addressing Objects and Their Relations:The Conversational Entity…
mi.eng.cam.ac.uk/~sjy/papers/ubcr18.pdf3 Jul 2018: shows that the CEDM learns to address a relationin up to 24.5% of all dialogues for r = 1.0. ... Computer Speech & Lan-guage, 24(2):150–174. Steve J. Young, Milica Gašić, Blaise Thomson, and Ja-son D. -
EFFICIENT LATTICE RESCORING USINGRECURRENT NEURAL NETWORK LANGUAGE…
mi.eng.cam.ac.uk/~mjfg/xl207_ICASSP14a.pdf28 Apr 2014: Instead, previous research has beenfocused on using N-best list rescoring for RNNLM performanceevaluation [13, 14, 26, 27, 24]. ... 21, no. 3, pp. 492–518,2007. [24] Y. Si, Q. Zhang, T. -
A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 Jun 2013: with 24% speaking the Central Guangdong, 20%the Northern Pearl River Delta, 19% the Southern Pearl River Delta,19% the Guangxi and Western Guangdong, and 18% the NorthernGuangdong dialects. ... System combination is performed using an -
Paper8-CV-intro.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/2024-IB-Paper8-CV-Introduction.pdf1 May 2024: 2D array I(x,y,t) incomputer memory. CCD. • A typical digital SLR CCD measures about 24 16 mm. -
A Benchmarking Environment for ReinforcementLearning Based Task…
mi.eng.cam.ac.uk/~sjy/papers/cbsm17.pdf20 Feb 2018: In Proceedings of ACL, 2017. [24] Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, DavidVandyke, Tsung-Hsien Wen, and Steve Young. ... Computer Speech & Language, 24(2):150–174, 2010. [53] Steve Young, Milica -
Phrase-based Statistical Language Generation usingGraphical Models…
mi.eng.cam.ac.uk/~sjy/papers/mgjk10.pdf20 Feb 2018: Com-puter Speech & Language, 24(4):562–588, 2010. Y. Tokuda, T. Yoshimura, T. ... Computer Speech and Language,24(2):150–174, 2010. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/ragni_ICASSP11.pdf11 Mar 2011: 24, pp. 648–662, 2010. [4] I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. -
crosseval_diff-reward2b.ps
mi.eng.cam.ac.uk/~sjy/papers/kgjm10.pdf20 Feb 2018: Yu. 2009. The Hidden InformationState model: a practical framework for POMDPbased spoken dialogue management.ComputerSpeech and Language, 24(2):150–174.
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