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			<subfield code="a">Imseng_ICASSP_2011/IDIAP</subfield>
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			<subfield code="a">Language dependent universal phoneme posterior estimation for mixed language speech recognition</subfield>
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			<subfield code="a">Imseng, David</subfield>
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			<subfield code="a">Bourlard, Hervé</subfield>
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			<subfield code="a">Magimai-Doss, Mathew</subfield>
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			<subfield code="a">Dines, John</subfield>
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			<subfield code="u">http://publications.idiap.ch/index.php/publications/showcite/Imseng_Idiap-RR-13-2011</subfield>
			<subfield code="z">Related documents</subfield>
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		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing</subfield>
			<subfield code="c">Prag, CZ</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2011</subfield>
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			<subfield code="c">5012-5015</subfield>
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			<subfield code="a">REPORT</subfield>
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			<subfield code="a">Imseng_Idiap-RR-13-2011/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Language dependent universal phoneme posterior estimation for mixed language speech recognition</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Imseng, David</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Bourlard, Hervé</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Magimai-Doss, Mathew</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Dines, John</subfield>
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			<subfield code="a">Idiap-RR-13-2011</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2011</subfield>
			<subfield code="b">Idiap</subfield>
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		<datafield tag="771" ind1="2" ind2=" ">
			<subfield code="d">May 2011</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">This paper presents a new approach to estimate "universal" phoneme posterior probabilities for
mixed language speech recognition. More specifically, we propose a new theoretical framework to
combine phoneme class posterior probabilities in a principled way by using (statistical) evidence
about the language identity. We investigate the proposed approach in a mixed language environment
(SpeechDat(II)) consisting of five European languages. Our studies show that the proposed approach
can yield significant improvements on a mixed language task, while maintaining the performance on
monolingual tasks. Additionally, through a case study, we also demonstrate the potential benefits of
the proposed approach for non-native speech recognition.</subfield>
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