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<Paper uid="H91-1011">
  <Title>Modelling Context Dependency in Acoustic-Phonetic and Lexical Representations 1</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
ABSTRACT
</SectionTitle>
    <Paragraph position="0"> In 1989, our group first reported on the development of SUM-MIT, a segment-based speaker-independent continuous-speech recognition system \[13\] . The initial version of SUMMIT made use of fairly simple context-independent models for the lexical labels.</Paragraph>
    <Paragraph position="1"> Recently, we have begun to incorporate more complex models of lexical labels that take into account a variety of contextual factors. These changes, along with an improved corrective training procedure for adapting pronunciation arc weights and a larger set of training data, have resulted in the reduction of error rate by almost a factor of two on the Resource Management task.</Paragraph>
  </Section>
class="xml-element"></Paper>