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			<subfield code="a">REPORT</subfield>
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			<subfield code="a">sanders-com-02-08/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Speech Processing &amp; Text-Independent Automatic Person Verification</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Sanderson, Conrad</subfield>
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		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/2002/com02-08.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-Com-08-2002</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2002</subfield>
			<subfield code="b">IDIAP</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">In this communication we first review the human speech production process and feature extraction approaches commonly used in a speaker verification system. Experiments on the telephone speech {NTIMIT} database suggest that the performance degradation of a speaker verification system used in noisy conditions can be reduced by extending traditional feature vectors with recently proposed {MACV} features.</subfield>
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