Duration of consonant clusters in French: automatic detection rules

نویسندگان

  • Yukihiro Nishinuma
  • Danielle Duez
  • Chantal Paboudjian
چکیده

This study describes how to automatically detect clusters of 2 consonants in a spoken French word recognition system. A set of rules was deduced from the statistic analyses carried out on the 4 corpora recorded by 1 0 subjects. Five relevant parameters were extracted, namely: 1} voice feature and 2} mode of articulation on the first half of the consonant segment, 3) duration ratio between vowel and consonant segment, 4) duration of consonant segment, and 5} position (prevocalic, intervocalic, postvocalic). This phonetic approach was examined on the GRECO-BDSONS, public test corpus. Our classification was 90% correct using the standard values of the duration parameters provided by our

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تاریخ انتشار 1989