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<Paper uid="P91-1054">
  <Title>Current Research in the Development of a Spoken Language Understanding System using PARSEC*</Title>
  <Section position="3" start_page="353" end_page="353" type="intro">
    <SectionTitle>
3 Current Research
</SectionTitle>
    <Paragraph position="0"> Our current research effort consists of the development of algorithms for extracting the prosodic information from the speech signal and incorporation of this information into the PARSEC framework. In addition, we will be working to interface PARSEC with the speech recognition system being developed at Purdue by Mitchell and Jamieson.</Paragraph>
    <Paragraph position="1"> We have selected a corpus of 14 syntactically ambiguous sentences for our initial experimentation. We have predicted what prosodic features humans use to disambiguate the sentences and are attempting to develop algorithms to extract those features from the speech. We are hoping to build upon those algorithms presented in \[1, 4, 5\]. Initially we are using a professional speaker trained in prosodics in our experiments, but eventually we will test our results with an untrained speaker.</Paragraph>
    <Paragraph position="2"> Although our current system allows multiple word candidates, it assumes that each of the possible words begin and end at the same time. It currently does not allow for non-aligned word boundaries. In addition, the output of the speech recognition system which we will be utilizing will consist of the most likely sequence of phonemes for a given utterance, so additional work will be required to extract the most likely word candidates for use in our system.</Paragraph>
  </Section>
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