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<Paper uid="H89-2074">
  <Title>REAL- TIME SPEECH REC O GNITION SYS TEMS</Title>
  <Section position="1" start_page="0" end_page="0" type="metho">
    <SectionTitle>
REAL- TIME SPEECH REC O GNITION SYS TEMS
Hy Murveit
SRI International
OBJECTIVES
</SectionTitle>
    <Paragraph position="0"> SRI is developing the hardware, software, and Mgorithms necessary to achieve real-time speech-recognition and spoken-language systems. As the first phase of this project, SRI is currently completing the design of a prototype that will be able to recognize from 3,000 to 9,000 words of continuous speech using bigram language models. This prototype is based on four special-purpose integrated circuits. SRI is also continuing to improve the SRI DECIPHER speech recognition system, and enabling it to be incorporated into SRI's architecture for the integration of speech recognition and natural language processing.</Paragraph>
  </Section>
  <Section position="2" start_page="0" end_page="0" type="metho">
    <SectionTitle>
RECENT ACCOMPLISHMENTS
</SectionTitle>
    <Paragraph position="0"> modifications to the prototype system to allow it to work in SRI's spoken language system framework--primarily by adding hypothesis pruning to the prototype.</Paragraph>
    <Paragraph position="1"> * Continue improving the DECIPHER system including the addition of consistency modeling to the system, and real-time implementations of noise-processing algorithms developed at SRI.</Paragraph>
  </Section>
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