%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{lathoud-rr-05-13,
         author = {Lathoud, Guillaume and Magimai.-Doss, Mathew and Mesot, Bertrand},
       projects = {Idiap},
          title = {A {F}requency-{D}omain {S}ilence Noise {M}odel},
           type = {Idiap-RR},
         number = {Idiap-RR-13-2005},
           year = {2005},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {To appear in ``Proceedings of INTERSPEECH 2005''},
       abstract = {This paper proposes a simple, computationally efficient 2-mixture model approach to discrimination between speech and background noise. It is directly derived from observations on real data, and can be used in a fully unsupervised manner, with the EM algorithm. A first application to sector-based, joint audio source localization and detection, using multiple microphones, confirms that the model can provide major enhancement. A second application to the single channel speech recognition task in a noisy environment yields major improvement on stationary noise and promising results on non-stationary noise.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/rr-05-13.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-13.ps.gz},
ipdinar={2005},
ipdmembership={speech},
language={English},
}