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<?xml version="1.0" standalone="yes"?>
<Paper uid="N04-4004">
  <Title>Hiromitsu Nishizaki ++++</Title>
  <Section position="3" start_page="6" end_page="6" type="intro">
    <SectionTitle>
4 Concluding Remarks
</SectionTitle>
    <Paragraph position="0"> This paper proposed to apply the SVM learning technique to the task of combining outputs of multiple LVCSR models. The proposed technique has advantages over that by voting schemes such as ROVER, especially when the majority of participating models are not reliable.</Paragraph>
  </Section>
class="xml-element"></Paper>
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