all AI news
Nonwords Pronunciation Classification in Language Development Tests for Preschool Children. (arXiv:2206.08058v2 [eess.AS] UPDATED)
cs.CL updates on arXiv.org arxiv.org
This work aims to automatically evaluate whether the language development of
children is age-appropriate. Validated speech and language tests are used for
this purpose to test the auditory memory. In this work, the task is to
determine whether spoken nonwords have been uttered correctly. We compare
different approaches that are motivated to model specific language structures:
Low-level features (FFT), speaker embeddings (ECAPA-TDNN), grapheme-motivated
embeddings (wav2vec 2.0), and phonetic embeddings in form of senones (ASR
acoustic model). Each of the approaches …
arxiv children classification development language preschool tests