Karhila, Reima

Kurimo, Mikko

Smolander, Anna-Riikka

Ylinen, Sari

English

arXiv

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.Peer reviewe

Smolander, Anna Riikka

Aaltodoc

Transparent pronunciation scoring using articulatorily weighted phoneme edit distance

Aaltodoc Publication Archive

Crossref

Transparent Pronunciation Scoring Using Articulatorily Weighted Phoneme Edit Distance

Helsingin yliopiston digitaalinen arkisto

https://helda.helsinki.fi/bitstream/10138/309186/1/karhila_transparent.pdf

Transparent pronunciation scoring using articulatorily weighted phoneme edit distance

Abstract

Similar works

Full text

Available Versions

Aaltodoc

Aaltodoc Publication Archive

Crossref

Helsingin yliopiston digitaalinen arkisto