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		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">CONF</subfield>
		</datafield>
		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">Taghizadeh_HSCMA-2_2014/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Ad-Hoc Microphone Array Calibration from Partial Distance Measurements</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Taghizadeh, Mohammad J.</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Asaei, Afsaneh</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Garner, Philip N.</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Bourlard, Hervé</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2014/Taghizadeh_HSCMA-2_2014.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Proceedings of the 4th Joint Workshop on Hands-free speech communication and Microphone Arrays</subfield>
			<subfield code="c">Villers-les-Nancy</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2014</subfield>
			<subfield code="b">IEEE</subfield>
		</datafield>
		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="c">1 - 5</subfield>
		</datafield>
		<datafield tag="500" ind1=" " ind2=" ">
			<subfield code="a">Nominated for best paper award</subfield>
		</datafield>
		<datafield tag="024" ind1="7" ind2=" ">
			<subfield code="a">10.1109/HSCMA.2014.6843239</subfield>
			<subfield code="2">doi</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">We address the problem of ad~hoc microphone array calibration where some of
the distances between the microphones can not be measured. The conventional
techniques require information about all the distances for accurate
reconstruction of the array geometry. To alleviate this condition, we
propose to exploit the properties of Euclidean distance matrices within the
framework of low-rank matrix completion to recover the missing entries. We
provide rigorous analysis to bound the calibration error using noisy
measurements. This study elucidates the links between the performance and
the structure of the missing distances, along with the size of the network.
The experiments carried out on real data recordings demonstrate these
theoretical insights. A significant improvement is achieved by the proposed
Euclidean distance matrix completion algorithm over the state-of-the-art
techniques for ad~hoc microphone array calibration.</subfield>
		</datafield>
	</record>
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