The "Speech Database of Typically Developing and Speech-Impaired Children" is an open speech dataset designed to support the development of AI-based language assessment systems. It contains speech samples from children aged 2 to 9 who are either typically developing or have reduced consonant articulation accuracy.
This dataset is based on standardized Korean articulation tools:
APAC (Articulation and Phonology Assessment… See the full description on the dataset page:
https://huggingface.co/datasets/K-University-AIED/Pathological-child-voice.
