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		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">REPORT</subfield>
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		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">lathoud-rr-05-13/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">A Frequency-Domain Silence Noise Model</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Lathoud, Guillaume</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Magimai-Doss, Mathew</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Mesot, Bertrand</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/2005/rr-05-13.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-RR-13-2005</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2005</subfield>
			<subfield code="b">IDIAP</subfield>
			<subfield code="a">Martigny, Switzerland</subfield>
		</datafield>
		<datafield tag="500" ind1=" " ind2=" ">
			<subfield code="a">To appear in ``Proceedings of INTERSPEECH 2005''</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">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.</subfield>
		</datafield>
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