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<Paper uid="H91-1083">
  <Title>Segment-Based Acoustic Models with Multi-level Search Algorithms for Continuous Speech Recognition</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
PROJECT GOALS
</SectionTitle>
    <Paragraph position="0"> The goal of this project is to develop improved acoustic models for speaker-independent recognition of continuous speech, together with efficient search algorithms appropriate for use with these models. The current work on acoustic modelling is focussed on stochastic, segment-based models that capture the time correlation of a sequence of observations (feature vectors) that correspond to a phoneme. Since the use of segment models is computationally complex, we are investigating multi-level, iterative algorithms to achieve a more efficient search. Furthermore, these algorithms will provide a formalism for incorporating higher-order information. This research is jointly sponsored by DARPA and NSF.</Paragraph>
  </Section>
class="xml-element"></Paper>