2017
Automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation
ICASSP 2017accepted
Automatic syllable stress detection is useful in assessing and diagnosing the quality of the pronunciation of second language (L2) learners in an automated way. Typically, the syllable stress depends on three prominence measures - intensity level, duration, pitch - around the sound unit with the hig…