Pronunciation errors by non-native learners sometimes result from their mistakes. In other words, they make a mistake even though knowing how to pronounce the sounds of each phoneme, We prepared data set to investigate correlation between an absolute threshold and human perception. Specifically, we examine the feasibility of an absolute threshold function to detect pronunciation errors. The M-set consists of words that are not so hard to pronounce but difficult to memorize their transcription.
