###### Abstract
They found that CPPs had a strong negative correlation with general degree and breathiness parameters of auditory-perceptual analysis. At last, [PERSON] et al. [18] analyzed the correlations between CPPs and auditory-perceptual parameters in a dysphonic group from vowel emission. They found that CPPs had a moderate negative correlation with general degree, roughness, and breathiness parameters of vocal quality, and weak negative correlation with strain parameter. Furthermore, they highlight how important it is to incorporate continuous speech to the analysis. Alternatively, a voice signal analysis can be performed by using long-term average spectrum (LTAS) measures. LTAS is a fast Fourier transform (FFT) analysis generated from an acoustic signal frequency spectrum. Equally to CPP and CPPs, LTAS does not require a nearly periodic signal to be reliable [19]. Also, LTAS can be applied to sustained vowel and continuous speech by analyzing the source and filter signals and their interaction in voice production [20; 21], and these measures are very accurate to detect vocal disorders [22]. Among LTAS measures, we highlight the alpha ratio and L1-L0, which have been increasingly used in studies [23; 24; 25; 26]. The alpha ratio represents the spectral slope, therefore, the steeper spectral slope, the lower intensity of high harmonics concerning the low harmonics [27]. Previous studies have found that the inefficient or too slow glottal closure produces a turbulent and irregular airflow, reducing the energy of the high harmonics [24; 28]. Thus, when there is increased glottal closure, which quickly interrupts the airflow, there will be decreased spectral slope and increased vocal projection [29; 30]. However, the less steep spectral slope is also present in hyperfunctional voices due to the increased closed phase of the glottal cycle. Thus, it is important to add another LTAS measure, such as the L1-L0. L1-L0 is the difference between the first formant (F1) energy level and the fundamental frequency (F\({}_{0}\)) energy level, which represents the phonation mode, and may be associated with vocal quality. Hence, when L0 (F\({}_{0}\) energy level) is higher regarding L1 (F1 energy level), there is a glottal hypoadduction, whereas when L0 is lower regarding L1, there is a glottal hyperadduction [22; 31]. Furthermore, some studies observed that close values of L1 and L0 are associated with economic voice production [32; 33]. [PERSON] et al. [23] found that strained or projected emotional patterns, such as anger and joy, have higher (less negative) alpha ratio and L1-L0 values. Emotions with a higher level of breathiness, such as erotism, have lower values. We observed that previous studies only analyzed CPPs in vocally healthy and dysphonic (behavioral dysphonia) women [4], participants with unilateral vocal fold paralysis (organic dysphonia) [17], and participants with behavioral dysphonia by only using sustained vowel [18]. At last, one study analyzed how emotional patterns affect LTAS measures. Hence, until now little has been known about how the physiological events that create the auditory-perceptual characteristics (general degree, roughness, breathiness, and strain) impact the objective measures of CPPs, alpha ratio, and L1-L0. By analyzing the same variables in both groups (vocally healthy and dysphonic) and both genders, and with the sustained vowel and connected speech, this study aims to contribute to scientific progress by implementing objective voice assessment measures. The auditory-perceptual analysis has low reproducibility and depends on individual characteristics and speech pathologists' previous experiences (i.e., the examiner). Therefore, using robust algorithms with higher reproducibility and reliability to measure the voice signal such as CPPs and LTAS could be complementary to auditory-perceptual analysis, thus improving the voice assessment. Hence, it is key that we understand the correlations that lie between these acoustic measures and the auditory-perceptual parameters.