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<Paper uid="C96-1051">
  <Title>Segmentation and Labelling of Slovenian Diphone Inventories*</Title>
  <Section position="6" start_page="301" end_page="302" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> Diphone inventory acquisition for the Slovenian language was discussed. In order to avoid the tedious time consuming manual segmentation of logatoms, an automatic procedure, based on HMM models is considered. Thus diphone sets for new synthetic voices are easier to produce. Results of the statistical evaluation of manual and automatic segmentation discrepancies are given.</Paragraph>
    <Paragraph position="1"> We expect the whole process of creating a new wfice to be semi-automatic (with manual correction of stopconsonant boundaries), allowing the synthesiser to be retrained on a new voice in less than 3 days.</Paragraph>
  </Section>
class="xml-element"></Paper>