Mispronunciation detection tools could increase treatment access for speech sound disorders impacting, e.g., /r/. We show age-and-sex normalized formant estimation outperforms cepstral representation for detection of fully rhotic vs. derhotic /r/ in the PERCEPT-R Corpus. Gated recurrent neural networks trained on this feature set achieve a mean test participant-specific F1-score =.81 ({\sigma}x=.10, med = .83, n = 48), with post hoc modeling showing no significant effect of child age or sex.
@article{arxiv.2305.16111,
title = {Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants},
author = {Nina R Benway and Jonathan L Preston and Asif Salekin and Yi Xiao and Harshit Sharma and Tara McAllister},
journal= {arXiv preprint arXiv:2305.16111},
year = {2023}
}
Comments
To appear in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023