Peta White Sjölander

Spectrum effects of subglottal pressure variation in professional baritone singers

The audio signal from five professional baritones was analyzed by means of spectrum analysis. Each subject sang syllables [pae] and [pa] from loudest to softest phonation at fundamental frequencies representing 25%, 50%, and 75% of his total range. Ten subglottal pressures, equidistantly spaced between highest and lowest, were selected for analysis along with the corresponding production of the vowels. The levels of the first formant and singers formant were measured as a function of subglottal pressure. Averaged across subjects, vowels, and F0, a 10-dB increase at 600 Hz was accompanied by a 16-dB increase at 3 kHz.

Children's Voice and Voice Disorders

This article discusses the differences between childrens voices and adult voices. We give an overview of the anatomy in the head and neck and specifically the anatomy of the respiratory system and the larynx. We also describe the development of childrens voices including different physiological measures and voice quality. The development and consequences for voice production and voice quality are addressed and related to gender differences in the growing child. We also discuss the prevalence of voice problems and hoarseness in children. Environmental and other factors contributing to voice problems in children are described, and finally, issues related to intervention and evidence-based practice are discussed.

Child voice and noise; acoustic effects of a day at the day‐care related to background noise levels

Several studies have found that high background noise levels are detrimental to health parameters. In particular, this seems to apply to developing voices were future vocal habits are established. Thus, it is important to study vocal function and environmental effects on the developing child voice. This study analyzed the effects of background noise on children’s voices, specifically vocal intensity, and fundamental frequency. The investigated vocal parameters were (1) the relationship of background noise levels to F0 and vocal intensity, (2) F0 and vocal intensity variations over the day, and (3) F0 perturbation variations over the day. Ten 5‐year‐old children from three day‐cares participated, six boys and four girls. The audio signal was recorded by two microphones mounted in front of the subjects’ ears. By adding these signals it is possible to separate the voice from background noise. The material analyzed contained data from three 60‐min recordings per child from morning, noon, and afternoon during ...