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<Paper uid="P06-2125">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics An HMM-Based Approach to Automatic Phrasing for Mandarin Textto-Speech Synthesis</Title>
  <Section position="9" start_page="980" end_page="980" type="concl">
    <SectionTitle>
5 Conclusions/Discussions
</SectionTitle>
    <Paragraph position="0"> We described an approach to automatic prosodic phrasing for Mandarin TTS synthesis based on word format and HMM and its variants. We also evaluated these methods through experiments and demonstrated promising results. According to the experimental results, we can conclude that word-based prediction is an effective approach and has advantages over the POS-based ones. It confirms that the syllable number of a word has substantial impact on prosodic phrasing.</Paragraph>
  </Section>
class="xml-element"></Paper>