6 citations
4 papers
Prospective Validation of Motor-Based Intervention with Automated Mispronunciation Detection of Rhotics in Residual Speech Sound Disorders
Nina R Benway, Jonathan L Preston
Because lab accuracy of clinical speech technology systems may be overoptimistic, clinical validation is vital to demonstrate system reproducibility - in this case, the ability of…
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…
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…
Enhancing Speech Articulation Analysis using a Geometric Transformation of the X-ray Microbeam Dataset
Ahmed Adel Attia, Mark Tiede, Carol Y. Espy-Wilson
Accurate analysis of speech articulation is crucial for speech analysis. However, X-Y coordinates of articulators strongly depend on the anatomy of the speakers and the variability…