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Publication
Optimization of glottal onset peak detection algorithm for accurate Jitter measurement
| Name: | Description: | Size: | Format: | |
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| 5.21 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Jitter is an acoustic parameter used as input for intelligent
systems for the diagnosis of speech related pathologies. This work has the
objective to improve an algorithm that allows to extract vocal parameters,
and thus improve the accuracy measurement of absolute jitter
parameter. Some signals were analyzed, where signal to signal was compared
in order to try to understand why the values are different in some
signal between the original algorithm and the reference software. In this
way, some problems were found that allowed to adjust the algorithm,
and improve the measurement accuracy for those signals. Subsequently,
a comparative analysis was performed between the values of the original
algorithm, the adjusted algorithm and the Praat software (assumed as
reference). By comparing the results, it was concluded that the adjusted
algorithm allows the extraction of the absolute jitter with values closer to
the reference values for several speech signals. For the analysis, sustained
vowels of control and pathological subjects were used.
Description
Keywords
Jitter Algorithm Optimization Speech pathologies Acoustic analysis
Pedagogical Context
Citation
Fernandes, Joana; Borghi, Pedro Henrique; Freitas, Diamantino Silva; Teixeira, João Paulo (2021). Optimization of glottal onset peak detection algorithm for accurate jitter measurement. In 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021. p. 123-137. ISBN 978-3-030-91884-2