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Combining I-vector Representation and Structured Neural Networks for…
mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf5 Apr 2016: Speech andSignal Processing, ICASSP 2015, South Brisbane, Queens-land, Australia, April 19-24, 2015, 2015, pp. ... IEEE, 2015, pp. 4315–4319. [24] Mark JF Gales, “Cluster adaptive training of hidden markovmodels,” Speech and Audio Processing, IEEE -
Log-linear System Combination Using Structured Support Vector…
mi.eng.cam.ac.uk/~ar527/Seg_K6.pdf24 Jun 2016: Such lattices can be efficiently generatedusing standard HMM-based approaches [24]. It is simple to no-tice that the inference problem in equation (5) or its lattice basedapproximation includes equation (4) ... 24] J. J. Odell, “The use of context in -
Investigation of multilingual speech-to-text systems for use in…
mi.eng.cam.ac.uk/~kmk/presentations/UEdin_Feb14_Knill.pdf12 May 2016: CUED Lorelei TeamBABEL Program. Seminar at Edinburgh University February 2014 24. -
template.dvi
mi.eng.cam.ac.uk/~ar527/ragni_is2016.pdf10 Nov 2016: Data-based schemes instead. make use of data to initialise [27], train [20, 23] or adapt [24] the. ... The amount. of training data in VLLP conditions is 31,959 and 24,703 words. -
SYSTEM COMBINATION WITH LOG-LINEAR MODELS J. Yang, C. Zhang, ...
mi.eng.cam.ac.uk/~mjfg/yang_ICASSP16.pdf12 Jul 2016: When the segment level features are used, the log-linear modelparameters η̂ could be considered as phone dependent acousticmodel scales [24]. ... In joint decoding, 2% relative WER performance gain wasachieved over the hybrid system, from 11.24% to -
Knill_CUEDSeminar_20140403.dvi
mi.eng.cam.ac.uk/~kmk/presentations/CUED_Apr14_Knill.pdf12 May 2016: CUED Lorelei Team. Babel ProgramSeminar at Cambridge University April 2014 24. -
System Combination with Log-linear Models
mi.eng.cam.ac.uk/~mjfg/icassp16_yang.pdf5 Apr 2016: When the segment level features are used, the log-linear modelparameters η̂ could be considered as phone dependent acousticmodel scales [24]. ... In joint decoding, 2% relative WER performance gain wasachieved over the hybrid system, from 11.24% to -
slides_part2.dvi
mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf12 May 2016: unintelligible, mispronounce, fragment words. • Convert PCM, 48KHz, 24-bit to A-law, 8KHz, 8-bit. ... yt. xt1. W. Timedelay. h. ht2. t1. • Use the hidden state values as a compact history representation [23, 24]. – -
Multi-Language Neural Network Language Models
mi.eng.cam.ac.uk/~mjfg/interspeech16_MLNNLMs.pdf26 Sep 2016: Data-based schemes instead. make use of data to initialise [27], train [20, 23] or adapt [24] the. ... The amount. of training data in VLLP conditions is 31,959 and 24,703 words. -
slides_part1.dvi
mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part1_Knill.pdf12 May 2016: Maximum Mutual Information (MMI) [23, 24]: maximise. Fmmi(λ) =1. R. ... Theory, 1991. Cambridge University. Engineering Department60. DNNs for Speech Processing. [24] P.
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