Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies

Stuttering is a motor-speech disorder that has features in common with other motor control disorders such as dystonia, Parkinson’s disease, and Tourette’s syndrome. Stuttering results from complex interactions between factors such as motor, language, emotions, and genetic systems. This study used Li...

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Main Authors:	Alang Md Rashid, Nahrul Khair, Alim, Sabur Ajibola, Nik Hashim, Nik Nur Wahidah, Sediono, Wahju
Format:	Article
Language:	English English
Published:	Kulliyyah of Engineering, International Islamic University Malaysia (IIUM) 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/57382/ http://irep.iium.edu.my/57382/ http://irep.iium.edu.my/57382/1/p.sed.iium_ej.2017.stuttering_dysfluencies.pdf http://irep.iium.edu.my/57382/7/57382_Receiver%20operating%20characteristics%20measure%20for%20the%20recognition%20of%20stuttering%20dysfluencies%20using%20line%20spectral%20frequencies_SCOPUS.pdf

id	iium-57382
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spelling	iium-573822018-01-07T16:58:17Z http://irep.iium.edu.my/57382/ Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies Alang Md Rashid, Nahrul Khair Alim, Sabur Ajibola Nik Hashim, Nik Nur Wahidah Sediono, Wahju TK7885 Computer engineering Stuttering is a motor-speech disorder that has features in common with other motor control disorders such as dystonia, Parkinson’s disease, and Tourette’s syndrome. Stuttering results from complex interactions between factors such as motor, language, emotions, and genetic systems. This study used Line Spectral Frequency (LSF) for feature extraction, while using three classifiers for the identification purpose, Multilayer Perceptron (MLP), Recurrent Neural Network (RNN) and Radial Basis Function (RBF). The UCLASS (University College London Archive of Stuttered Speech) release 1 was used as the database in this research. These recordings were from people of ages ranging from 12y11m to 19y5m, who were referred to clinics in London for assessment of their stuttering. The performance metrics used for interpreting the results are sensitivity, accuracy, precision, and misclassification rate. Only M1 and M2 had below 100% sensitivity for RBF. The sensitivity of M1 was found to be between 40% & 60%, therefore categorized as moderate, while that of M2 falls between 60% & 80%, classed as substantial. Overall, RBF outperforms the two other classifiers, MLP and RNN for all the performance metrics considered. Gagap adalah gangguan motor pertuturan, mempunyai ciri-ciri yang sama dengan lain-lain gangguan kawalan motor seperti dystonia, penyakit Parkinson dan sindrom Tourette. Keputusan kegagapan daripada interaksi kompleks antara faktor-faktor seperti motor, bahasa, emosi dan genetik. Kajian ini menggunakan Frekuensi Line spektral (LSF) untuk pengekstrakan ciri, semasa menggunakan tiga penjodoh untuk tujuan mengenal pasti, Multilayer Perceptron (MLP), Rangkaian Neural Berulang (RNN) dan Radial Asas Fungsi (RBF). The UCLASS (University College London Arkib Stuttered Ucapan) melepaskan 1 digunakan sebagai pangkalan data dalam kajian ini. Ini rakaman adalah dari orang-orang peringkat umur 12y11m untuk 19y5m, yang dirujuk kepada klinik di London untuk penilaian kegagapan mereka. Metrik prestasi yang digunakan untuk mentafsir keputusan yang sensitif, ketepatan, ketepatan dan kadar misclassification. Hanya M1 dan M2 mempunyai di bawah 100% kepekaan untuk RBF. Kepekaan M1 didapati antara 40% & 60%, oleh itu dikategorikan sebagai sederhana, manakala M2 jatuh antara 60% & 80%, dikelaskan sebagai besar. Secara keseluruhan, RBF melebihi performa dua penjodoh lain, MLP dan RNN untuk semua metrik prestasi dipertimbangkan. Kulliyyah of Engineering, International Islamic University Malaysia (IIUM) 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/57382/1/p.sed.iium_ej.2017.stuttering_dysfluencies.pdf application/pdf en http://irep.iium.edu.my/57382/7/57382_Receiver%20operating%20characteristics%20measure%20for%20the%20recognition%20of%20stuttering%20dysfluencies%20using%20line%20spectral%20frequencies_SCOPUS.pdf Alang Md Rashid, Nahrul Khair and Alim, Sabur Ajibola and Nik Hashim, Nik Nur Wahidah and Sediono, Wahju (2017) Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies. International Islamic University Malaysia Engineering Journal,, 18 (1). pp. 193-200. ISSN 1511-788X E-ISSN 2289-7860 http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/578/464
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Alang Md Rashid, Nahrul Khair Alim, Sabur Ajibola Nik Hashim, Nik Nur Wahidah Sediono, Wahju Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
description	Stuttering is a motor-speech disorder that has features in common with other motor control disorders such as dystonia, Parkinson’s disease, and Tourette’s syndrome. Stuttering results from complex interactions between factors such as motor, language, emotions, and genetic systems. This study used Line Spectral Frequency (LSF) for feature extraction, while using three classifiers for the identification purpose, Multilayer Perceptron (MLP), Recurrent Neural Network (RNN) and Radial Basis Function (RBF). The UCLASS (University College London Archive of Stuttered Speech) release 1 was used as the database in this research. These recordings were from people of ages ranging from 12y11m to 19y5m, who were referred to clinics in London for assessment of their stuttering. The performance metrics used for interpreting the results are sensitivity, accuracy, precision, and misclassification rate. Only M1 and M2 had below 100% sensitivity for RBF. The sensitivity of M1 was found to be between 40% & 60%, therefore categorized as moderate, while that of M2 falls between 60% & 80%, classed as substantial. Overall, RBF outperforms the two other classifiers, MLP and RNN for all the performance metrics considered. Gagap adalah gangguan motor pertuturan, mempunyai ciri-ciri yang sama dengan lain-lain gangguan kawalan motor seperti dystonia, penyakit Parkinson dan sindrom Tourette. Keputusan kegagapan daripada interaksi kompleks antara faktor-faktor seperti motor, bahasa, emosi dan genetik. Kajian ini menggunakan Frekuensi Line spektral (LSF) untuk pengekstrakan ciri, semasa menggunakan tiga penjodoh untuk tujuan mengenal pasti, Multilayer Perceptron (MLP), Rangkaian Neural Berulang (RNN) dan Radial Asas Fungsi (RBF). The UCLASS (University College London Arkib Stuttered Ucapan) melepaskan 1 digunakan sebagai pangkalan data dalam kajian ini. Ini rakaman adalah dari orang-orang peringkat umur 12y11m untuk 19y5m, yang dirujuk kepada klinik di London untuk penilaian kegagapan mereka. Metrik prestasi yang digunakan untuk mentafsir keputusan yang sensitif, ketepatan, ketepatan dan kadar misclassification. Hanya M1 dan M2 mempunyai di bawah 100% kepekaan untuk RBF. Kepekaan M1 didapati antara 40% & 60%, oleh itu dikategorikan sebagai sederhana, manakala M2 jatuh antara 60% & 80%, dikelaskan sebagai besar. Secara keseluruhan, RBF melebihi performa dua penjodoh lain, MLP dan RNN untuk semua metrik prestasi dipertimbangkan.
format	Article
author	Alang Md Rashid, Nahrul Khair Alim, Sabur Ajibola Nik Hashim, Nik Nur Wahidah Sediono, Wahju
author_facet	Alang Md Rashid, Nahrul Khair Alim, Sabur Ajibola Nik Hashim, Nik Nur Wahidah Sediono, Wahju
author_sort	Alang Md Rashid, Nahrul Khair
title	Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
title_short	Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
title_full	Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
title_fullStr	Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
title_full_unstemmed	Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
title_sort	receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies
publisher	Kulliyyah of Engineering, International Islamic University Malaysia (IIUM)
publishDate	2017
url	http://irep.iium.edu.my/57382/ http://irep.iium.edu.my/57382/ http://irep.iium.edu.my/57382/1/p.sed.iium_ej.2017.stuttering_dysfluencies.pdf http://irep.iium.edu.my/57382/7/57382_Receiver%20operating%20characteristics%20measure%20for%20the%20recognition%20of%20stuttering%20dysfluencies%20using%20line%20spectral%20frequencies_SCOPUS.pdf
first_indexed	2023-09-18T21:21:07Z
last_indexed	2023-09-18T21:21:07Z
_version_	1777411887869198336

Receiver operating characteristics measure for the recognition of stuttering dysfluencies using line spectral frequencies

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