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http://dx.doi.org/10.13064/KSSS.2020.12.4.073

Statistical analysis on long-term change of jitter component on continuous speech signal  

Jo, Cheolwoo (School of Electrical, Electronics and Control Engineering, Changwon National University)
Publication Information
Phonetics and Speech Sciences / v.12, no.4, 2020 , pp. 73-80 More about this Journal
Abstract
In this study, a method for measuring the jitter component in continuous speech is presented. In the conventional jitter measurement method, pitch variabilities are commonly measured from the sustained vowels. In the case of continuous speech, such as a spoken sentence, distortion occurs with the existing measurement method owing to the influence of prosody information according to the sentence. Therefore, we propose a method to reduce the pitch fluctuations of prosody information in continuous speech. To remove this pitch fluctuation component, a curve representing the fluctuation is obtained via polynomial interpolation for the pitch track in the analysis interval, and the shift is removed according to the curve. Subsequently, the variability of the pitch frequency is obtained by a method of measuring jitter from the trajectory of the pitch from which the shift is removed. To measure the effects of the proposed method, parameter values before and after the operations are compared using samples from the Kay Pentax MEEI database. The statistical analysis of the experimental results showed that jitter components from the continuous speech can be measured effectively by proposed method and the values are comparable to the parameters of sustained vowel from the same speaker.
Keywords
Jitter; connected speech; variability measure; polynomial interpolation; sustained vowel;
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