%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Garner_Idiap-RR-08-2009,
         author = {Garner, Philip N.},
       projects = {IM2},
          month = {6},
          title = {A MAP Approach to Noise Compensation of Speech},
           type = {Idiap-RR},
         number = {Idiap-RR-08-2009},
           year = {2009},
    institution = {Idiap},
       abstract = {We show that estimation of parameters for the popular Gaussian model
of speech in noise can be regularised in a Bayesian sense by use of
simple prior distributions.  For two example prior distributions, we
show that the marginal distribution of the uncorrupted speech is
non-Gaussian, but the parameter estimates themselves have tractable
solutions.  Speech recognition experiments serve to suggest values
for hyper-parameters, and demonstrate that the theory is practically
applicable.},
            pdf = {https://publications.idiap.ch/attachments/reports/2009/Garner_Idiap-RR-08-2009.pdf}
}