Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. - Gales - Document - PDFSEARCH.IO

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	Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. Add to Reading List Document Date: 2012-02-10 06:33:37 Open Document File Size: 171,10 KB Share Result on Facebook / Facility Cambridge University / / IndustryTerm energy level / low-energy speech / large vocabulary systems / / Organization Cambridge University / M.J.F. Gales Cambridge University Engineering Department / / Position General / speaker / representative / / Product C-1 / / ProvinceOrState AURORA / / Technology speech recognition / / SocialTag Statistical inference Markov models Statistical models Multivariate normal distribution Speech recognition Hidden Markov model Additive white Gaussian noise Mixture model Linear regression Statistics

Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. Add to Reading List