@inproceedings{96c7968a07be4d2b8d2e619a525f2024,
title = "CAD of sigmatism using neural networks",
abstract = "Sigmatism, or lisp, is a common speech pathology defined by the misarticulation of sibilants and commonly appears in preschool-age children. Automated diagnosis from speech data has been used for other disorders, and the use of acoustic features could objectify the diagnosis procedure. 1593 multichannel recordings from 85 young children were subjected to feature extraction and classification using a neural network. The classification performance was evaluated for single and multichannel input as well as multiple feature sets and articulation phases. Multichannel recordings increased the classifier accuracy from 78.75\% to 87.27\% when using cepstral and spectral features. The introduction of a multichannel acoustic features was shown to increase sigmatism detection accuracy.",
keywords = "ANNs, Computer-aided pronunciation evaluation, Multichannel signal processing, Sibilants, Sigmatism diagnosis",
author = "Andre Woloshuk and Micha{\l} Kr{\c e}cichwost and Zuzanna Miodo{\'n}ska and Pawel Badura and Joanna Trzaskalik and Ewa Pietka",
note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 6th International Conference on Information Technology in Biomedicine, ITIB 2018 ; Conference date: 18-06-2018 Through 20-06-2018",
year = "2019",
doi = "10.1007/978-3-319-91211-0\_23",
language = "English",
isbn = "9783319912103",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "260--271",
editor = "Ewa Pietka and Pawel Badura and Jacek Kawa and Wojciech Wieclawek",
booktitle = "Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB{\textquoteright}2018",
address = "Germany",
}