Prosodic features for automatic text-independent evaluation of degree of nativeness for language learners

Carlos Teixeira, Horacio Franco, Elizabeth Shriberg, Kristin Precoda, Kemal Sönmez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Predicting the degree of nativeness of a student utterance is an important issue in computer-aided language learning. This task has been addressed by many studies focusing on the segmental assessment of the speech signal. To achieve improved correlations between human and automatic nativeness scores, other aspects of speech should also be considered, such as prosody. The goal of this study is to evaluate the use of prosodic information to help predict the degree of nativeness of pronunciation, independent of the text. A supervised strategy based on human grades is used in an attempt to select promising features for this task. Preliminary results show improvements in the correlation between human and automatic scores.

Original languageEnglish (US)
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - Jan 1 2000
Externally publishedYes
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: Oct 16 2000Oct 20 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period10/16/0010/20/00

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

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    Teixeira, C., Franco, H., Shriberg, E., Precoda, K., & Sönmez, K. (2000). Prosodic features for automatic text-independent evaluation of degree of nativeness for language learners. In 6th International Conference on Spoken Language Processing, ICSLP 2000 (6th International Conference on Spoken Language Processing, ICSLP 2000). International Speech Communication Association.