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arXiv · 2305.16111

Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants

Nina R Benway·Jonathan L Preston·Asif Salekin·Yi Xiao·Harshit Sharma·Tara McAllister
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Abstract

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.

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Nina R Benway, Jonathan L Preston, Asif Salekin, Yi Xiao, Harshit Sharma, Tara McAllister. 2023-05-25. Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants. https://doi.org/10.21437/interspeech.2023-312

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