Summary
Objectives
This study aimed to estimate the intertext variability of smoothed cepstral peak prominence
(CPPS), examine whether sound-processing techniques improved its variability and diagnostic
capability, and evaluate the degree of intertext variability in detail with reference
to the CPPS variabilities in sustained vowels.
Study design
This was a retrospective study.
Methods
Text readings of 58 Japanese syllables were recorded from 210 speakers with different
diagnoses and varying degrees of dysphonia, and were divided into six passages. Applying
the sound-processing techniques to those passages, we prepared three sample types:
(1) nonprocessed, (2) only-loud, and (3) only-voiced samples. The intertext CPPS variability
and diagnostic properties were compared across the passages and sample types. For
detailed analysis, we subsequently extracted 63 normophonic speakers who maintained
constant quality in their vowel utterances to evaluate the degree of intertext CPPS
variability in relation to the variabilities between repeated identical vowels and
across different vowels.
Results
Although several combinations of passages showed moderate-to-large CPPS variabilities,
those variabilities were decreased by either technique, especially the deletion of
silent segments, which resulted in the best diagnostic accuracy. The degree of intertext
CPPS variability for the only-voiced samples was comparable to that of the CPPS variabilities
in sustained vowels.
Conclusions
The sound-processing technique removing silent segments should be applied to enhance
the diagnostic properties of CPPS. The additional technique of deleting unvoiced segments
is worth adopting if clinicians and researchers seek to attenuate the influence of
text differences in calculating CPPS values.
Key Words
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Article info
Publication history
Published online: October 30, 2018
Accepted:
September 25,
2018
Identification
Copyright
© 2018 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
