%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}
}