Although CPP data values obtained via these programs will be different owing to algorithmic processing differences, this study found that estimated CPP values derived using regression equations could be transformed between programs with relatively small predictive error, regardless of language. Measurements of CPP derived from ADSV and Praat manifested strong parallel-forms reliability. Average residual errors ranged from 0.55 to 1.1 dB for the prediction of Praat CPP data from actual observed ADSV CPP data, and average residual errors ranged from 0.57 to 1.58 dB for the prediction of ADSV CPP data from actual observed Praat CPP data. Correlational analyses and measures of the standard error of the estimate were applied to the vowel and connected speech data obtained from the two programs.Īnalyses revealed very strong relationships (eg, r > 0.88) between CPP measures derived from ADSV and those derived from Praat, regardless of context (vowel or connected speech) or language spoken. This study aimed to investigate the relationship and reliability of cepstral peak prominence (CPP) measures from two acoustic software applications, Analysis of Dysphonia in Speech and Voice (ADSV) and Praat.įlemish and English recordings of sustained vowels and connected speech samples were analyzed using ADSV and Praat.
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