Researchers have developed a screening pipeline to identify speech sound errors in Polish-speaking children, addressing the limited access to specialists. The system utilizes a wav2vec2-based CTC token recognizer combined with an alignment-based error typing method and a caregiver assistant. In testing, the recognizer achieved an 88.7% exact sequence match, and the screening proxy demonstrated 72.9% precision and 61.4% recall. AI
IMPACT This research could lead to more accessible and affordable speech disorder screening tools for children globally.
RANK_REASON The cluster describes an academic paper detailing a new research methodology and system.
Read on arXiv cs.MA (Multiagent) →
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