Abstract
Our work concerns the automatic classification of Pathological Speech (PP) using the Decision Trees (DT) method. The specific goal is the automatic characterization of pathological speech, particularly that produced by individuals with facial clefts, for its application in the diagnosis, evaluation, and rehabilitation of these patients in an Algerian hospital setting.
We developed a corpus consisting of words containing the emphatic phoneme [ṭ] combined in 556 sound files with the Long Vowel (VL) [ā] and in 555 sound files with the Short Vowel (VC) [a]. This corpus was recorded by twenty-eight (28) speakers with cleft palate or labio-palatal cleft and a control group of thirty-eight (38) healthy speakers. Prior to this, we conducted an acoustic analysis to extract relevant features (F0, F1, F2, and F3, E0, VOT, durations [CV] and [V] of the subsequent vowel, the degree of F0 disturbance (Jitter), the degree of intensity disturbance (Shimmer), and the Harmonics to Noise Ratio (HNR)). Subsequently, a DT based on the C4.5 algorithm was applied to discriminate PP from Normal Speech (PN). The results obtained show that DTs adapt well to the recognition and classification of PP. This method allowed us to achieve appreciable Recognition Rates (RR) for PP compared to PN, with rates of 87% for VL and 85% for VC.
Our work could contribute to the development of automatic diagnostics, the establishment of expert systems leading to appreciable rates of vocal anomaly identification, and support in Speech Therapy education.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
SE Parker et coll.: Mise à jour des estimations nationales de prévalence à la naissance pour certaines malformations congénitales aux États-Unis, 2004–2006. Birt . Défauts Rés. A. Clin. Mol. Tératol ., vol. 88, non. 12, 1008–1016 (2010)
VelemDínská, J., Katina, S., Smahel, et, Z., Sedlácková, M.: Analyse de la forme du squelette facial chez les patients présentant une fente labiale et palatine unilatérale complète: morphométrie géométrique. Acta Chir . Plast . 48(1), 26–32 (2006)
Khanna, R., Tikku et, T., Wadhwa, J.: Complexe nasomaxillaire en termes de taille, de position et d'orientation chez les individus traités chirurgicalement et non traités présentant une fente labiale et palatine: un aperçu céphalométrique. Indian J. Plast . Surg. 45(01), 068–075 (2012)
Peterson- Falzone, S.J., Hardin-Jones, MA., et Karnell, MP.: Cleft Palate Speech - 4e édition, 4e éd. dans le livre bleu. Missouri, États-Unis: Mosby, 2009. Consulté le 20 novembre (2023). [En ligne]. Disponible: https://shop.elsevier.com/books/cleft-palate-speech/peterson-falzone/978-0-323-04882-8
Sudro, P.N., Prasanna, S.M., « Amélioration de l’intelligibilité de la fricative alvéolaire dans le langage des fentes labiales et palatines », en: 14e Conférence internationale du Conseil indien de l’IEEE (INDICON). IEEE 2017, 1–6 (2017)
Laufer et, A., Baer, NT.: Les sons emphatiques et pharyngés en hébreu et en arabe. Lang. Discours. 31(2), 181–205 (1988)
Vu, M.Q., Besacier, L., Castelli, E., Pham, N.Y.: Extraction automatique de Questions dans les corpus de réunions et de dialogues. In: MajecSTIC 2005: Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC, 2005, pp. 393–397. Accessed: Nov. 20, (2023). https://inria.hal.science/inria-00000739/
Song, Y.-Y., Ying, L.U.: Decision tree methods: applications for classification and prediction. Shanghai Arch. Psychiatry 27(2), 130 (2015)
Calas, G.: Etudes des principaux algorithmes de data mining .Spéc . Sci . Cogn . Informer. Avancée Fr. (2009)
Fauth et coll., C.: Concevoir un corpus vocal bilingue pour les apprenants de français et d'allemand: un processus en deux étapes., dans LREC-9e Conférence sur les ressources linguistiques et l'évaluation (2014)
Wu et coll, X.: Top 10 des algorithmes d'exploration de données. Knowl . Inf. Système. 14, 1–37 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Baazi, K., Gasmi, A.e.h., Ammi, M., Saadedine, A., Delmadji, A. (2024). Classification of Pathological Speech in Speakers with Cleft Palate: Decision Tree Approach. In: Su, R., Zhang, YD., Frangi, A.F. (eds) Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023). MICAD 2023. Lecture Notes in Electrical Engineering, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-97-1335-6_22
Download citation
DOI: https://doi.org/10.1007/978-981-97-1335-6_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-1334-9
Online ISBN: 978-981-97-1335-6
eBook Packages: Computer ScienceComputer Science (R0)