Arias Vergara T, Londoño-Mora E, Pérez Toro PA, Schuster M, Nöth E, Orozco Arroyave JR, Maier A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: International Speech Communication Association
Book Volume: 2023-August
Pages Range: 4638-4642
Conference Proceedings Title: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
DOI: 10.21437/Interspeech.2023-2099
Children with Cleft Lip and Palate (CLP) may experience difficulties in oral communication, leading to other developmental problems such as delayed language acquisition and poor social skills; thus, early treatment is essential for successful speech rehabilitation. In this paper, we propose a methodology for automatically assessing the phonological precision of children with CLP. We propose to use the probabilities obtained from a phonological class recognizer to measure phonological precision during connected speech. Furthermore, we compute the nasal-to-sound ratio to improve the automatic detection of the nasality level. For this, we considered speech recordings of 88 children with CLP, assessed by a clinician according to four nasality levels: normal, mild, moderate, and severe. We obtained an F1-score of up to 0.54 for detecting the nasality level automatically. The results suggest that phonological analysis can be used for individualized speech rehabilitation.
APA:
Arias Vergara, T., Londoño-Mora, E., Pérez Toro, P.A., Schuster, M., Nöth, E., Orozco Arroyave, J.R., & Maier, A. (2023). Measuring Phonological Precision in Children with Cleft Lip and Palate. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 4638-4642). Dublin, IE: International Speech Communication Association.
MLA:
Arias Vergara, Tomás, et al. "Measuring Phonological Precision in Children with Cleft Lip and Palate." Proceedings of the 24th International Speech Communication Association, Interspeech 2023, Dublin International Speech Communication Association, 2023. 4638-4642.
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