Analysis of L2 English Speech Corpus by Automatic Phoneme Alignment

Hajime Tsubaki, Mariko Kondo

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

This study tested the application of adapted HTK for automatic alignment of speech corpus of Asian speakers’ English. The HTK tool with TIMIT has problems in aligning non-native speakers’ English. New sets of phoneme sequences for each word were listed to test if an adapted alignment module could accurately analyze pronunciation of Japanese speakers’ English. The new sets of phoneme sequences produced better alignment of Japanese accented English and showed that the L2 incorporated new alignment module could perform more accurate automatic alignment of L2 English data. The same methods should be able to be applied to other language data.

Original languageEnglish
Pages141-144
Number of pages4
Publication statusPublished - 2011
Event2011 ISCA International Workshop on Speech and Language Technology in Education, SLaTE 2011 - Venice, Italy
Duration: 2011 Aug 242011 Aug 26

Conference

Conference2011 ISCA International Workshop on Speech and Language Technology in Education, SLaTE 2011
Country/TerritoryItaly
CityVenice
Period11/8/2411/8/26

Keywords

  • automatic alignment
  • HTK
  • L2 English
  • speech corpus
  • TIMIT

ASJC Scopus subject areas

  • Education
  • Computer Science (miscellaneous)
  • Computational Mathematics

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