Prospective Validation of Motor-Based Intervention with Automated Mispronunciation Detection of Rhotics in Residual Speech Sound Disorders

• DOI: 10.21437/interspeech.2023-1882
• Publication Date: 2023-08-14T08:22:20Z
• Authors: Nina R Benway; Jonathan L Preston
• Keywords: FOS: Computer and information sciences; Sound (cs.SD); Audio and Speech Processing (eess.AS); FOS: Electrical engineering, electronic engineering, information engineering; Computer Science - Sound; Electrical Engineering and Systems Science - Audio and Speech Processing

Because lab accuracy of clinical speech technology systems may be overoptimistic, validation is vital to demonstrate system reproducibility-in this case, the ability PERCEPT-R Classifier predict clinician judgment American English /ɹ/ during ChainingAI motor-based sound disorder intervention.All five participants experienced statistically-significant improvement in untreated words following 10 sessions combined human-ChainingAI treatment.These gains, despite a wide range PERCEPThuman and human-human (F1-score) agreement, raise questions about best measuring classification performance for that perceptually ambiguous.