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Combining I-vector Representation and Structured Neural Networks for…
mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf5 Apr 2016: Op-tionally, common layers can be introduced before the basis split-ting or after their combination. -
STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES…
mi.eng.cam.ac.uk/~mjfg/vandalen_ASRU15.pdf12 Jul 2016: 5.2. Babel languages. The other type of corpus is the “very limited language packs”(VLLP) of three languages from the IARPA Babel program, OptionPeriod (OP) 2. -
Structured Discriminative Models Using Deep Neural-Network Features
mi.eng.cam.ac.uk/~mjfg/asru15-vanDalen.pdf11 Mar 2016: 164. 5.2. Babel languages. The other type of corpus is the “very limited language packs”(VLLP) of three languages from the IARPA Babel program, OptionPeriod (OP) 2. -
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 -
Structured and InûniteDiscriminative Models for Speech Recognition…
mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf26 Jul 2016: Structured and InûniteDiscriminative Models for. Speech Recognition. Jingzhou YangHomerton College. Department of Engineering. University of Cambridge. A thesis submitted to the University of Cambridge for the degree of. Doctor of Philosophy.
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