This study examines voice perturbation parameters of the sustained [a] in English and of the eight vowels in Turkish to discover whether any difference exists between these languages, and whether a correlation exists between voice perturbation parameters and articulatory and acoustic properties of the Turkish vowels. Eight Turkish vowels uttered by 26 healthy nonsmoker volunteer males who are native Turkish speakers were compared with a voice database that includes samples of normal and disordered voices belonging to American English speakers. Fundamental frequencies, the first and second formants, and perturbation parameters, such as jitter percent, pitch perturbation quotient, shimmer percent, and amplitude perturbation quotient of the sustained vowels, were measured. Also, the first and second formants of the sustained [a] in English were measured, and other parameters have been obtained from the database. When the voice perturbation parameters in Turkish and English were compared, statistically significant differences were not found. However, when Turkish vowels compared with each other, statistically significant differences were found among perturbation values. Categorical comparisons of the Turkish vowels like high-low, rounded-unrounded, and front-back revealed significant differences in perturbation values. In correlation analysis, a weak linear inverse relation between jitter percent and the first formant (r=-0.260, p<0.05) was found.
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http://dx.doi.org/10.1016/j.jvoice.2003.09.007 | DOI Listing |
J Voice
January 2025
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.
Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).
Behav Res Methods
December 2024
Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
In recent years, there has been growing interest in remote speech assessment through automated speech acoustic analysis. While the reliability of widely used features has been validated in professional recording settings, it remains unclear how the heterogeneity of consumer-grade recording devices, commonly used in nonclinical settings, impacts the reliability of these measurements. To address this issue, we systematically investigated the cross-device and test-retest reliability of classical speech acoustic measurements in a sample of healthy Chinese adults using consumer-grade equipment across three popular speech tasks: sustained phonation (SP), diadochokinesis (DDK), and picture description (PicD).
View Article and Find Full Text PDFJ Voice
December 2024
Department of Duquesne-China Health Institute, John G. Rangos Sr. School of Health Sciences, Duquesne University, Pittsburgh, PA; Speech Science Laboratory, Faculty of Education, The University of Hong Kong, Hong Kong SAR, China.
J Neurophysiol
December 2024
Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Transcranial magnetic stimulation (TMS) is a noninvasive stimulation technique for modulating brain activity. However, selecting optimal control protocols to account for their neural and non-neural effects remains a challenge. To this end, the present event-related potential (ERP) study investigated the behavioral and neural effects of three commonly used control protocols, namely, sham stimulation and real stimulation with continuous theta burst stimulation (c-TBS) over the vertex and primary visual cortex (V1), on a given task manipulating pitch in voice auditory feedback.
View Article and Find Full Text PDFCureus
October 2024
Otolaryngology-Head and Neck Surgery Universitary Center, Hospital Universitario "Dr. José Eleuterio González", Monterrey, MEX.
Background Acoustic vocal analysis provides objective and measurable values for various voice parameters, such as fundamental frequency (F0), shimmer, jitter, and the noise-to-harmony ratio (NHR). In severely dysphonic patients, who present increased variability in glottic cycles and abnormalities in vocal intensity, conventional acoustic analysis is an unreliable predictor of dysphonia. The logarithmic transformation of the vocal spectrum (cepstrum) allows capturing the signal without relying on recording technique, frequency, or vocal intensity.
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