Phoneme-Level Mispronunciation Screening in Polish-Speaking Children with an Explainable Assistant
Early identification of speech sound errors in children is often limited by access to specialists, motivating lightweight screening tools that can operate outside the clinic. We present a screening pipeline for Polish-speaking children focused on sibilant substitutions, coupling a wav2vec2-based CTC token recognizer with alignment-based error typing and a template-grounded caregiver assistant for screening, not diagnosis. On a held-out test set of 10 unseen children comprising 559 utterances, the recognizer achieves 88.7 percent exact sequence match. As a conservative screening proxy, we flag a mismatch when the system emits substitution-evidence bracketed tokens at the target segment, yi...
| Authors | Milosz Dudek, Daria Hemmerling, Kamil Kwarciak et al. |
|---|---|
| Primary category | eess.AS |
| Published | 23 June 2026 |
| Last updated at source | 23 June 2026 |
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