4 citations · 7 across the 2 of their papers we have counts for
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eess.AS2023★ 4 cited
Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants
Nina R Benway, Jonathan L Preston, Asif Salekin +3
Mispronunciation detection tools could increase treatment access for speech sound disorders impacting, e.g., /r/. We show age-and-sex normalized formant estimation outperforms ceps…
eess.AS2023★ 3 cited
Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /r/ in Child Speech Sound Disorders
Nina R Benway, Yashish M Siriwardena, Jonathan L Preston +3
Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed articulatory feedback unattainable by formant-based mispro…