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			<subfield code="a">REPORT</subfield>
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		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">dupont-RR-97-14/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Using the Multi-Stream Approach for Continuous Audio-Visual Speech Recognition</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Dupont, Stéphane</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Luettin, Juergen</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/1997/rr97-14.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-RR-14-1997</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">1997</subfield>
			<subfield code="b">IDIAP</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">The Multi-Stream automatic speech recognition approach was investigated in this work as a framework for Audio-Visual data fusion and speech recognition. This method presents many potential advantages for such a task. It particularly allows for synchronous decoding of continuous speech while still allowing for some asynchrony of the visual and acoustic information streams. First, the Multi-Stream formalism is briefly recalled. Then, on top of the Multi-Stream motivations, experiments on the {\sc M2VTS} multimodal database are presented and discussed. To our knowledge, these are the first experiments about multi-speaker continuous Audio-Visual Speech Recognition (AVSR). It is shown that the Multi-Stream approach can yield improved Audio-Visual speech recognition performance when the acoustic signal is corrupted by noise as well as for clean speech.</subfield>
		</datafield>
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