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An improved time domain pitch detection algorithm for pathologtical voice

Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection...

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Main Authors: Jamaludin, Mohd. Redzuan, Shaikh Salleh, Sheikh Hussain, Tan, Tian Swee, Ahmad, Kartini, Ariff Ibrahim, Ahmad Kamarul, Ismail, Kamarulafizam
Format: Article
Published: 2012
Subjects:
Q Science
Online Access:http://eprints.utm.my/id/eprint/46595/
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id my.utm.46595
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spelling my.utm.465952017-09-17T01:09:31Z http://eprints.utm.my/id/eprint/46595/ An improved time domain pitch detection algorithm for pathologtical voice Jamaludin, Mohd. Redzuan Shaikh Salleh, Sheikh Hussain Tan, Tian Swee Ahmad, Kartini Ariff Ibrahim, Ahmad Kamarul Ismail, Kamarulafizam Q Science Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection algorithm capable of accurately detect pitch in disordered voices. Approach: The proposed method applies a technique where the frame size of the half wave rectified autocorrelation is adjusted to a smaller frame after two potential pitch candidates are identified within the preliminary frame. Results: The method is compared to PRAAT’s standard autocorrelation and the result shows a significant improvement in detecting pitch for pathological voices. Conclusion: The proposed method is more reliable way to detect pitch, either in low or high pitched voice without adjusting the window size, fixing the pitch candidate search range and predefining threshold like most of the standard autocorrelation do. 2012 Article PeerReviewed Jamaludin, Mohd. Redzuan and Shaikh Salleh, Sheikh Hussain and Tan, Tian Swee and Ahmad, Kartini and Ariff Ibrahim, Ahmad Kamarul and Ismail, Kamarulafizam (2012) An improved time domain pitch detection algorithm for pathologtical voice. American Journal of Applied Sciences, 9 (1). pp. 93-102. ISSN 1546-9239
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science
spellingShingle Q Science
Jamaludin, Mohd. Redzuan
Shaikh Salleh, Sheikh Hussain
Tan, Tian Swee
Ahmad, Kartini
Ariff Ibrahim, Ahmad Kamarul
Ismail, Kamarulafizam
An improved time domain pitch detection algorithm for pathologtical voice
description Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection algorithm capable of accurately detect pitch in disordered voices. Approach: The proposed method applies a technique where the frame size of the half wave rectified autocorrelation is adjusted to a smaller frame after two potential pitch candidates are identified within the preliminary frame. Results: The method is compared to PRAAT’s standard autocorrelation and the result shows a significant improvement in detecting pitch for pathological voices. Conclusion: The proposed method is more reliable way to detect pitch, either in low or high pitched voice without adjusting the window size, fixing the pitch candidate search range and predefining threshold like most of the standard autocorrelation do.
format Article
author Jamaludin, Mohd. Redzuan
Shaikh Salleh, Sheikh Hussain
Tan, Tian Swee
Ahmad, Kartini
Ariff Ibrahim, Ahmad Kamarul
Ismail, Kamarulafizam
author_facet Jamaludin, Mohd. Redzuan
Shaikh Salleh, Sheikh Hussain
Tan, Tian Swee
Ahmad, Kartini
Ariff Ibrahim, Ahmad Kamarul
Ismail, Kamarulafizam
author_sort Jamaludin, Mohd. Redzuan
title An improved time domain pitch detection algorithm for pathologtical voice
title_short An improved time domain pitch detection algorithm for pathologtical voice
title_full An improved time domain pitch detection algorithm for pathologtical voice
title_fullStr An improved time domain pitch detection algorithm for pathologtical voice
title_full_unstemmed An improved time domain pitch detection algorithm for pathologtical voice
title_sort improved time domain pitch detection algorithm for pathologtical voice
publishDate 2012
url http://eprints.utm.my/id/eprint/46595/
_version_ 1643652081896128512
score 13.211869

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