The predictive value of the acoustic measurements related to the audio-perceptual parameters exhibited magnitudes ranging from weak (R(2)a=0.17) to moderate (R(2)a=0.71). The acoustic measures were correlated to the audio-perceptual parameters of the GRBAS and rated by 10 experts.
Speech (Tiger Electronics), Multidimensional Voice Program (Kay Elemetrics), PRAAT, and Voice Studio (Seegnal) software programs. This article aims to establish correlations between acoustic and audio-perceptual measures using the GRBAS scale with respect to four different voice analysis software programs.Ī total of 90 voice records were collected and analyzed with the Dr. The AVFAD will allow future cooperative work and testing of non-invasive methods for voice pathology diagnosis. An additional analysis of the relation between the acoustic parameters and gender, age group, smoking habits, body mass index and voice usage, was considered. The normal and pathological f0 mean, Jitter ppq5, Shimmer apq11 and Harmonics-to-Noise-Ratio characteristics were compared. Radial graphs were generated considering that all variables had an approximately normal distribution, and using previously calculated average and standard deviation values for all parameters. An annotated segment of the vowel /a/ for each participant was analysed automatically with a Praat script. The AVFAD are comprised of 8648 uncompressed audio files and an additional database file with 19 Praat Voice Report parameter values and 16 clinical data entries per participant. Participants were audio-recorded, producing the following vocal tasks: Sustaining vowels /a, i, u/ reading of six CAPE-V sentences reading a phonetically balanced text spontaneous speech.
All clinical conditions were registered according to the Classification Manual of Voice Disorders-I. This study allowed the documentation of the alterations resulting from UVFP and addressed the exploration of parameters with limited information for this pathology.Ī new open access resource called Advanced Voice Function Assessment Databases (AVFAD) was developed, based on a sample of 709 individuals (346 clinically diagnosed with vocal pathology and 363 with no vocal alterations) recruited in Portugal. In the male data differences were also found in F1 and F2 frequencies values and in the standard-deviation of the frequency of F1. Also the jitter, shimmer, HNR, standard-deviation of F0, and standard-deviation of the frequency of F2 were statistically different between groups, for both genders. Statistically significant differences were found in all of the perceptual parameters.
These voices were analysed perceptually with the GRBAS scale and acoustically using the following parameters: mean fundamental frequency (F0), standard-deviation of F0, jitter (ppq5), shimmer (apq11), mean harmonics-to-noise ratio (HNR), mean first (F1) and second (F2) formants frequency, and standard-deviation of F1 and F2 frequencies. The goal of this study was to analyse perceptually and acoustically the voices of patients with Unilateral Vocal Fold Paralysis (UVFP) and compare them to the voices of normal subjects.
The other acoustic measures revealed statistically significant differences.Įven though it is easier to access software programs and there are numerous proposals for acoustic measures, not all of them are statistically representative nor have numeric semblance among the different applications. The mean F0 is not statistically different among the used applications. There is a moderate to strong correlation, positive and statistically significant among the software programs. Speech by Tiger Electronics) – for comparison among the most commonly used acoustic measures (frequency, perturbation and noise measures). The samples were analyzed by four different types of software programs that perform acoustical evaluation – one open source software (Praat) and three commercial ones (Multi Dimensional Voice Program – MDVP by Kay Elemetrics VoiceStudio by Seegnal and Dr. To describe the results of the acoustic analysis of a database of 90 voice samples with distinct dysphonia levels, using four different – commercial and open source – software programs.