In this experiment, we are looking for a non-native learner's error to
have a score for a given target phoneme in a given context, that is
significantly distant from the scores that a native model speaker has.
As task data, the continuous speech, which may contain prosodic
transfer, was chosen. In
general, learners may transfer the prosodic patterns of their native
languages (L1) into the target language (L2). Therefore, we
investigate how relative threshold functions will work in this task.
For this purpose, we prepared a total of 13 sentences from Japanese
textbook. To automatically detect pronunciation errors, the relative
thresholds based on a native model speaker were used. Due to
experimental limitations, we have not investigated the contextual
effects for specific speech materials. Based on the score of a native
model speaker, we investigate how effectively it can detect
pronunciation errors.