Intertext Variability of Smoothed Cepstral Peak Prominence, Methods to Control It, and Its Diagnostic Properties

Kitayama, Itsuki; Hosokawa, Kiyohito; Iwahashi, Toru; Iwahashi, M.; Iwaki, Shinobu; Kato, Chieri; Yoshida, Misao; Umatani, Masanori; Matsushiro, Naoki; Ogawa, Makoto; Inohara, Hidenori

doi:10.1016/j.jvoice.2018.09.021

Cited by 13 publications

(3 citation statements)

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“…CPP can vary significantly based on the stimuli selected for analysis. Differences are seen based on the selection of sustained vowels 17,27 or phonemes present in continuous speech samples [27][28][29][30][31][32][33] . As continuous speech stimuli varies in the amount of voiced productions and articulatory patterns used, some researchers have used the all-voiced sentences for analysis 5 .…”

Section: Analyze the Same Stimuli For Across-participant Or Across-ti...mentioning

confidence: 99%

“…Although numerous studies have shown the strong relationship between dysphonia and CPP 3,[7][8][9][10][11][12][13][14][15][16] , significant external factors unrelated to dysphonia may also influence CPP. These factors include patient-controlled factors (such as prosodic changes in loudness or fundamental frequency [17][18][19][20][21][22][23][24] ), recording environment or microphone used 25,26 , stimuli type (sustained vowel, continuous speech), and phonemes present in stimuli 17,[27][28][29][30][31][32][33] , as well as the program used to calculate CPP values 9,10,15,24,26,27,[34][35][36] . Therefore, it is essential that clinicians using CPP reduce as many of these external factors as possible when comparing across patients or within the same patient across time points (i.e., before and after therapy).…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, intertext variability of CPP is significantly reduced by removing the silent periods and unvoiced segments before analysis 32,41 . Thus, using a VAD may be more beneficial in clinical populations that display large variability in their pause/speech rate or during situations when analysis of different stimuli is necessary.…”

Section: Introductionmentioning

confidence: 99%

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A Practical Guide to Calculating Cepstral Peak Prominence in Praat

Murray¹,

Chao²,

Colletti³

2022

Preprint

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Objectives: The acoustic measure of cepstral peak prominence (CPP) is recommended for the analysis of dysphonia. Yet, clinical use of this measure is not universal, as clinicians and researchers are still learning the strengths and limitations of this measure. Furthermore, affordable access to specialized acoustic software is a significant barrier to universal CPP use. This article will provide a guide on how to calculate CPP in Praat, a free software program, using a new CPP plugin. Additionally, important external factors that could influence CPP measures are discussed, and suggestions for clinical use are provided.Methods: A tutorial on installing and using the new CPP plugin is provided. Sample results using this plugin are provided for participants in the Perceptual Voice Qualities Database1. Results: Using the CPP plugin, CPP values calculated with and without voicing detection were significantly correlated with the auditory-perceptual ratings of dysphonia. Discussion: This article provides a comprehensive tutorial for installing and using the CPP plugin in Praat, a free software program. As CPP becomes more widely used by clinicians and researchers, it is important to consider external factors that may inadvertently influence CPP values. Controlling for these external factors will aid in reducing variability across CPP values, which will make CPP a valuable tool for both clinical and research purposes.

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