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:
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
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