#Cepstral peak prominence praat software#

Methodology: Flemish and English recordings of sustained vowels and connected speech samples were analyzed using ADSV and Praat.

#Cepstral peak prominence praat software#

The strong measurement relationships indicate that CPP values from either program have a high degree of shared variance and may be expected to differentiate across a wide range of voice signal periodicity in a relatively similar fashion. Purpose: 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. 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. This paper deals with cepstral peak prominence smoothed (CPPS) distribution and its descriptive statistics as possible indicators of vocal health status. Recent studies indicate that voice fundamental frequency (F0) and intensity (sound pressure level SPL. To date, there is little evidence about the advantages of CPPS over HNR in voice diagnostics. Measurements of CPP derived from ADSV and Praat manifested strong parallel-forms reliability. Both programs provide a smoothed version of the CPP (referred to as CPPS (Cepstral Peak Prominence Smoothed) in Praat and simply as the CPP in ADSV), and both programs have been included in a substantial body of clinical voice research. Purpose Smoothed cepstral peak prominence (CPPS) and harmonics-to-noise ratio (HNR) are acoustic measures related to the periodicity, harmonicity, and noise components of an acoustic signal. 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. The articles that investigated the power of Cepstral Peak Prominence (CPP) and its smoothed version (CPPS) to differentiate dysphonia versus normal voice.