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<Paper uid="C80-1071">
  <Title>SPEECH RECOGNITION SYSTEM FOR SPOKEN JAPANESE SENTENCES</Title>
  <Section position="6" start_page="1033" end_page="1033" type="evalu">
    <SectionTitle>
4. Results
</SectionTitle>
    <Paragraph position="0"> We have been dealing with a Japanese fairy tale, &amp;quot;MOMOTARO&amp;quot; consisting of simple sentences and are now improving the system performance.</Paragraph>
    <Paragraph position="1"> The system's vocabulary is 99 words in total excepting inflexion of verbs, auxiliary verbs and adjectives. For simple sentences, the syntactic and semantic analysers work well. Furthermore the syntactic analyser alone can exactly recognize simple sentences with correct phoneme strings which would be provided from an ideal acoustic analyser. Though the level of semantic analysis is in its first stage, for simple sentences the semantic analyser can reject semantically inconsistent word sequences.</Paragraph>
    <Paragraph position="2"> Therefore the acoustic analyser must be improved first of all. Its performance is as follows: The total number of output phonemes expected for an ideal acoustic analyser is 826 for the whole 16 test sentences from the tale, while the number of correct phonemes obtained from the analyser is 741 (89.7 %), and that of erroneous phonemes is 125 (15.1%), in which the numbers of mis-identified phonemes, missing phonemes and superfluous phonemes are 25, 60 and 40 respectively. null The system can successfully recognize 25 blocks (a part of a sentence uttered in a breath) out of 33 blocks, and 9 sentences out of 16 sentences. null</Paragraph>
  </Section>
class="xml-element"></Paper>