1 research outputs found
Transparent pronunciation scoring using articulatorily weighted phoneme edit distance
For researching effects of gamification in foreign language learning for
children in the "Say It Again, Kid!" project we developed a feedback paradigm
that can drive gameplay in pronunciation learning games. We describe our
scoring system based on the difference between a reference phone sequence and
the output of a multilingual CTC phoneme recogniser. We present a white-box
scoring model of mapped weighted Levenshtein edit distance between reference
and error with error weights for articulatory differences computed from a
training set of scored utterances. The system can produce a human-readable list
of each detected mispronunciation's contribution to the utterance score. We
compare our scoring method to established black box methods.Comment: Submitted to Interspeech 201