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Automatic evaluation of quantity contrast in non-native Norwegian speech Ingunn Amdal, Magne H. Johnsen, Eivind Versvik
 

Summary: Automatic evaluation of quantity contrast in non-native Norwegian speech
Ingunn Amdal, Magne H. Johnsen, Eivind Versvik
Department of Electronics and Telecommunications
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
{ingunn.amdal,mhj}@iet.ntnu.no
Abstract
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 sys-
tem exists for non-native Norwegian. We present initial exper-
iments 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 classi-
fier 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.

  

Source: Amdal, Ingunn - Department of Electronics and Telecommunications, Norwegian University of Science and Technology

 

Collections: Engineering