Background: Current pediatric voice assessment guidelines include instrumental measurements of fundamental frequency (F0) and the perturbation indices jitter and shimmer. In children below 10 years, gender, age, height and weight effects on these parameters have been inconsistently characterized. Recent research in healthy children showed, that differences in habitual speaking voice intensity (voice SPL) under the usual assessment procedure significantly affect jitter and shimmer. These effects were reduced in phonations with controlled voice SPL >80dBA. Reliable measurement methods and description of physiologic influencing factors are essential to identify pathologic voices.
Objective: This cross-sectional single cohort study investigates in children between 5;0 and 9;11 years how gender, age, height and weight affect voice F0, jitter and shimmer in phonations at individually "medium" voice intensity (modeling the usual clinical practice) and with controlled voice SPL >80dBA.
Subjects And Methods: 68 vocally healthy children (39 f/29 m) aged 5;0-9;11 years provided 3 prolonged phonations of/a/at individually "medium" and controlled voice intensity at ">80dBA" (visual feedback, 10cm distance). F0 (Hz), jitter (%), shimmer (%) and voice SPL (dBA) were determined with PRAAT. Gender, age, height and weight effects without and with controlled voice SPL were assessed by descriptive statistics, Analysis of Variance and Linear Mixed Models.
Results: F0 (Hz), jitter (%), shimmer (%) and voice SPL (dBA) were significantly different in medium voice compared to >80dBA (p<0.01). In medium phonations girls had a higher F0 than boys (girls: 276.7(50.7), boys: 261.5(33.7)), but with >80dBA this difference was only minimal (girls: 328.9(52.2), boys 327.9(51.2)). Mean jitter (0.27(0.10)) and shimmer (4.34(1.68)) were smaller and showed less spread (jitter: 0.5(0.26); shimmer: 9.47(3.47)) with >80dBA. Gender, age, height and weight had no significant effects on F0, jitter, shimmer and voice SPL in both phonation types (p-range=0.42-0.99).
Conclusions: Neither without nor with controlled voice SPL there were systematic gender, age, height or weight effects on voice F0, jitter and shimmer. Gender related F0 discrepancies were equalized in phonations with >80dBA. In children below 10 years gender related acoustic voice differences may be mainly linked to behavior, which should be considered in future works regarding physiologic voice development.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijporl.2015.09.005 | DOI Listing |
J Speech Lang Hear Res
December 2024
Neurorehabilitation and Brain Research Group, Institute for Human-Centered Technology Research, Universitat Politècnica de València, Spain.
Purpose: This study investigated the ecological validity of conventional voice assessments by comparing the self-perceived voice quality and acoustic characteristics of voice production during these assessments to those in a simulated environment with varying distracting conditions and noise levels.
Method: Forty-two university professors (26 women) participated in the study, where they were asked to produce loud connected speech by reading a 100-word text under four different conditions: a conventional assessment and three virtual classroom simulations created with 360° videos, each with different noise levels, played through a virtual reality headset and headphones. The first video depicted students paying attention in class (40 dB classroom noise); the second showed some students talking, generating moderate conversational noise (60 dB); and the third depicted students talking loudly and not paying attention (70 dB).
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
November 2024
ACS Appl Mater Interfaces
September 2024
International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun, Jilin 130022, China.
Artificial intelligence and human-computer interaction advances demand bioinspired sensing modalities capable of comprehending human affective states and speech. However, endowing skin-like interfaces with such intricate perception abilities remains challenging. Here, we have developed a flexible piezoresistive artificial ear (AE) sensor based on gold nanoparticles, which can convert sound signals into electrical signals through changes in resistance.
View Article and Find Full Text PDFInt J Audiol
September 2024
Cluster of Excellence "Hearing4all", Oldenburg, Germany.
Objective: Audiological tests on smartphones require consistent microphone recordings across device types with a reasonable standard uncertainty (2-3 Decibel (dB)) of the sound pressure level at the microphone. However, the calibration of smartphone microphones by the non-expert user is still an unsolved issue. We show that whistling on standardized glass bottles permits a coarse sound level calibration with an uncertainty that is smaller than the standard uncertainty of clinical audiograms (4.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!