ISCA Archive SLaTE 2009
ISCA Archive SLaTE 2009

Automatic evaluation of quantity contrast in non-native Norwegian speech

Ingunn Amdal, Magne H. Johnsen, Eivind Versvik

Computer assisted language learning (CAPT) has been shown to be effective for learning non-natives pronunciation details of a new language. No automatic pronunciation evaluation system exists for non-native Norwegian. We present initial experiments on the Norwegian quantity contrast between short and long vowels. A database of native and non-native speakers was recorded for training and test respectively. We have used a set of acoustic-phonetic features and combined them in a classifier based on linear discriminant analysis (LDA). The resulting classification rate was 92.3% compared with a human rating. As expected, vowel duration was the most important feature, whereas vowel spectral content contributed insignificantly. The achieved classification rate is promising with respect to making a useful Norwegian CAPT for quantity.


Cite as: Amdal, I., Johnsen, M.H., Versvik, E. (2009) Automatic evaluation of quantity contrast in non-native Norwegian speech. Proc. Speech and Language Technology in Education (SLaTE 2009), 21-24

@inproceedings{amdal09_slate,
  author={Ingunn Amdal and Magne H. Johnsen and Eivind Versvik},
  title={{Automatic evaluation of quantity contrast in non-native Norwegian speech}},
  year=2009,
  booktitle={Proc. Speech and Language Technology in Education (SLaTE 2009)},
  pages={21--24}
}