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Model-Based Approaches to Robust SpeechRecognition Mark Gales with…
mi.eng.cam.ac.uk/~mjfg/talk_kcl.pdf13 Jun 2008: Cambridge UniversityEngineering Department. King’s College London Seminar 24. Model-Based Approaches to Robust Speech Recognition. ... p(Y; λ(1)). )λ(2) log. (p(Y; λ(2)). ). . – Related to the Fisher kernel [24]. -
Reward Shaping with Recurrent Neural Networks for Speeding upOn-Line…
mi.eng.cam.ac.uk/~sjy/papers/svgm15.pdf20 Feb 2018: Computer Speech and Language,24:562–588. Jason D. Williams and Steve Young. 2007. -
Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, …
mi.eng.cam.ac.uk/~mjfg/yang_is2013.pdf13 Jun 2013: Better performance couldbe achieved by gradually increasing C. Equation (16) is also known as the training criterion ofthe structural SVM [23, 24]. ... ACM, 2004. [24] Shi-Xiong Zhang and Mark Gales, “Structured SVMs for auto-matic speech -
SSVM_LVCSR_ASRU11.dvi
mi.eng.cam.ac.uk/~mjfg/sxz20_ASRU11.pdf19 Jan 2012: 23)), finds the most violated constraint (Eq. (24)), andadds it to the working set. ... Parallelingthe loop for Eq. (24) will lead to a substantial speed-up in thenumber of threads. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/yw293_ASRU11.pdf19 Jan 2012: and. J(m)xδ =. g. xtδ. µ(m)xe ,µl,µn. (24). Thus the model parameters are compensated by. ... Forexample, using the initial noise estimate, RVTSJ performancevaried from 27.5% to 31.7%, while the performance of MLestimated noise only varied from 24.3% -
Dialogue manager domain adaptation using Gaussian process…
mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf20 Feb 2018: SFRName Reward Success #Turnsbest prior 8.66 0.35 85.40 2.19 8.32 0.20adapted 9.62 0.30 89.60 1.90 8.24 0.19. ... The systemwas deployed in a telephone-based set-up, with subjects recruited via Ama-zon MTurk and a recurrent neural network model was used -
Model-Based Approaches to Robust SpeechRecognition Mark Gales with…
mi.eng.cam.ac.uk/~mjfg/mjfg_edin08.pdf6 Oct 2008: Cambridge UniversityEngineering Department. 24. Model-Based Approaches to Robust Speech Recognition. HTK-Based VTS and SVM Rescoring Performance. ... Comp IterWER%. ENON CITY HWY. VTS0 3.35 8.87 13.111 1.24 3.09 3.782 1.37 2.65 3.15. -
STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION ANDKEYWORD…
mi.eng.cam.ac.uk/~ar527/ragni_icassp2017b.pdf22 Mar 2017: These weretrained on FLP data of 24 Babel languages and CTS data of 4 addi-tional languages, English, Spanish, Arabic and Mandarin, releasedby LDC. ... Stacked Hybrids were trained withand without stimulated training using monophone initialisation -
Online_ASRU11.dvi
mi.eng.cam.ac.uk/~sjy/papers/gjty11.pdf20 Feb 2018: 24, no. 2, pp. 150–174, 2010. [9] B. Thomson and S. ... 24, no. 4, pp. 562–588, 2010. [10] M. Gǎsić, S. Keizer, F. -
Sequence Kernels for Speaker and SpeechRecognition Mark Gales - ...
mi.eng.cam.ac.uk/~mjfg/jhu09.pdf16 Jul 2009: Cambridge UniversityEngineering Department. JHU Workshop 2009 24. Sequence Kernels for Speaker and Speech Recognition.
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