<?xml version="1.0" standalone="yes"?>
<Paper uid="C94-2156">
  <Title>Machine-Readable Dictionaries in Text-to-Speech Systems</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents the results of an experiment usiug machine-readable dictionaries (Mill)s) and corpora for building concatenativc units for text to speech (T'PS) systems. Theoretical questions concerning the nature of t)honemic data in dictionaries are raised; phonemic dictionary data is viewed as a representative corpus over which to extract n- gram phonemic frequencies in the language. Dictionary data are compared to corpus data, and phoneme inventories arc evaluated for coverage. A methodology is defined to compute I)honemic n-grams for incorporation into a TTS system.</Paragraph>
  </Section>
class="xml-element"></Paper>