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An improved time domain pitch detection algorithm for pathologtical voice

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

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:Applied sciences
Subjects:Q Science
Divisions:Biosciences and Medical Engineering
ID Code:46595
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 13:56
Last Modified:17 Sep 2017 09:09

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