LPC and its derivatives for stuttered speech recognition

Stuttering or stammering is disruptions in the normal flow of speech by dysfluencies, which can be repetitions or prolongations of phoneme or syllable. Stuttering cannot be permanently cured, though it may go into remission or stutterers can learn to shape their speech into fluent speech with an app...

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Main Authors:	Alim, Sabur Ajibola, Rashid , Nahrul Khair Alang, Sediono, Wahju, Nik Wahidah, Nik Nur
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2015
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/46310/ http://irep.iium.edu.my/46310/ http://irep.iium.edu.my/46310/1/50.Stuttered_speech_recognition.jurnalteknologi.2015.6471-17894-1-SM.pdf

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spelling	iium-463102016-01-05T07:10:32Z http://irep.iium.edu.my/46310/ LPC and its derivatives for stuttered speech recognition Alim, Sabur Ajibola Rashid , Nahrul Khair Alang Sediono, Wahju Nik Wahidah, Nik Nur TK7885 Computer engineering Stuttering or stammering is disruptions in the normal flow of speech by dysfluencies, which can be repetitions or prolongations of phoneme or syllable. Stuttering cannot be permanently cured, though it may go into remission or stutterers can learn to shape their speech into fluent speech with an appropriate speech pathology treatment. Linear Prediction Coefficient (LPC), Linear Prediction Cepstral Coefficient (LPCC) and Line Spectral Frequency (LSF) were used for the feature extraction, while Multilayer Perceptron (MLP) was used as the classifier. The samples used were obtained from UCLASS (University College London Archive of Stuttered Speech) release 1. The LPCC-MLP system had the highest overall sensitivity, precision and the lowest overall misclassification rate. LPCC-MLP system had challenges with F3, the sensitivity of the system to F3 was negligible, similarly, the precision was moderate and the misclassification rate was negligible, but above 10%. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46310/1/50.Stuttered_speech_recognition.jurnalteknologi.2015.6471-17894-1-SM.pdf Alim, Sabur Ajibola and Rashid , Nahrul Khair Alang and Sediono, Wahju and Nik Wahidah, Nik Nur (2015) LPC and its derivatives for stuttered speech recognition. Jurnal Teknologi (Sciences & Engineering) 77:18 (2015) 11–16, 77 (18). pp. 11-16. ISSN eISSN 2180–3722 http://www.jurnalteknologi.utm.my
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Alim, Sabur Ajibola Rashid , Nahrul Khair Alang Sediono, Wahju Nik Wahidah, Nik Nur LPC and its derivatives for stuttered speech recognition
description	Stuttering or stammering is disruptions in the normal flow of speech by dysfluencies, which can be repetitions or prolongations of phoneme or syllable. Stuttering cannot be permanently cured, though it may go into remission or stutterers can learn to shape their speech into fluent speech with an appropriate speech pathology treatment. Linear Prediction Coefficient (LPC), Linear Prediction Cepstral Coefficient (LPCC) and Line Spectral Frequency (LSF) were used for the feature extraction, while Multilayer Perceptron (MLP) was used as the classifier. The samples used were obtained from UCLASS (University College London Archive of Stuttered Speech) release 1. The LPCC-MLP system had the highest overall sensitivity, precision and the lowest overall misclassification rate. LPCC-MLP system had challenges with F3, the sensitivity of the system to F3 was negligible, similarly, the precision was moderate and the misclassification rate was negligible, but above 10%.
format	Article
author	Alim, Sabur Ajibola Rashid , Nahrul Khair Alang Sediono, Wahju Nik Wahidah, Nik Nur
author_facet	Alim, Sabur Ajibola Rashid , Nahrul Khair Alang Sediono, Wahju Nik Wahidah, Nik Nur
author_sort	Alim, Sabur Ajibola
title	LPC and its derivatives for stuttered speech recognition
title_short	LPC and its derivatives for stuttered speech recognition
title_full	LPC and its derivatives for stuttered speech recognition
title_fullStr	LPC and its derivatives for stuttered speech recognition
title_full_unstemmed	LPC and its derivatives for stuttered speech recognition
title_sort	lpc and its derivatives for stuttered speech recognition
publisher	Penerbit UTM Press
publishDate	2015
url	http://irep.iium.edu.my/46310/ http://irep.iium.edu.my/46310/ http://irep.iium.edu.my/46310/1/50.Stuttered_speech_recognition.jurnalteknologi.2015.6471-17894-1-SM.pdf
first_indexed	2023-09-18T21:05:56Z
last_indexed	2023-09-18T21:05:56Z
_version_	1777410932888043520

LPC and its derivatives for stuttered speech recognition

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