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<Paper uid="P06-2051">
  <Title>Spontaneous Speech Understanding for Robust Multi-Modal Human-Robot Communication</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a speech understanding component for enabling robust situated human-robot communication. The aim is to gain semantic interpretations of utterances that serve as a basis for multi-modal dialog management also in cases where the recognized word-stream is not grammatically correct. For the understanding process, we designed semantic processable units, which are adapted to the domain of situated communication. Our framework supports the speci c characteristics of spontaneous speech used in combination with gestures in a real world scenario. It also provides information about the dialog acts. Finally, we present a processing mechanism using these concept structures to generate the most likely semantic interpretation of the utterances and to evaluate the interpretation with respect to semantic coherence.</Paragraph>
  </Section>
class="xml-element"></Paper>