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Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /r/ in Child Speech Sound Disorders

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arxiv 2305.16085 v1 pith:4R2UCOKB submitted 2023-05-25 eess.AS

Nina R Benway , Yashish M Siriwardena , Jonathan L Preston , Elaine Hitchcock , Tara McAllister , Carol Espy-Wilson This is my paper
classification eess.AS
keywords speechdetectioninversionmispronunciationacoustic-to-articulatorysoundarticulatorychild
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Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed articulatory feedback unattainable by formant-based mispronunciation detection algorithms; however, it is unclear the extent to which a speech inversion system trained on adult speech performs in the context of (1) child and (2) clinical speech. In the absence of an articulatory dataset in children with rhotic speech sound disorders, we show that classifiers trained on tract variables from acoustic-to-articulatory speech inversion meet or exceed the performance of state-of-the-art features when predicting clinician judgment of rhoticity. Index Terms: rhotic, speech sound disorder, mispronunciation detection

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Cited by 1 Pith paper

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  1. Acoustic to Articulatory Speech Inversion for Children with Velopharyngeal Insufficiency

    eess.AS 2025-09 conditional novelty 4.0 of 10

    An audio-only speech inversion system, fine-tuned on children with velopharyngeal insufficiency, estimates nasalance with improved correlation over a prior adult baseline.

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