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OBJECTIVES: There has been the assumption that whispering may impact vocal function, leading to the widespread recommendation against its practice after phonosurgery. However, the extent to which whispering affects vocal function and vocal fold oscillation patterns remains unclear. METHODS: 10 vocally healthy subjects (5 male, 5 female) were instructed to forcefully whisper a standardized text for 10 min at a sound level of 70 dB(A), measured at a microphone distance of 30 cm to the mouth. Prior to and following the whisper loading, the dysphonia severity index was assessed. Simultaneously, recordings of high speed videolaryngoscopy (HSV), electroglottography, and audio signals during sustained phonation on the vowel /i/ (250 Hz for females and 125 Hz for males) were analyzed after segmentation of the HSV material. RESULTS: The pre-post analysis revealed only minor changes after the intervention. These changes included a rise in minimum intensity, an increase in the glottal area waveform-derived open quotient, and the glottal gap index. However, no statistically significant changes were observed in the harmonic-to-noise-ratio, the glottal- to-noise-excitation-ratio, and the electroglottographic open quotient. CONCLUSION: Overall, the study suggests that there are only small effects on vocal function in consequence of a forced whisper loading.
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Laringoscopía , Fonación , Calidad de la Voz , Humanos , Masculino , Femenino , Adulto , Calidad de la Voz/fisiología , Fonación/fisiología , Pliegues Vocales/fisiopatología , Adulto Joven , Disfonía/fisiopatología , Voluntarios Sanos , Grabación en VideoRESUMEN
Within the realm of voice classification, singers could be sub-categorized by the weight of their repertoire, the so-called "singer's Fach." However, the opposite pole terms "lyric" and "dramatic" singing are not yet well defined by their acoustic and articulatory characteristics. Nine professional singers of different singers' Fach were asked to sing a diatonic scale on the vowel /a/, first in what the singers considered as lyric and second in what they considered as dramatic. Image recording was performed using real time magnetic resonance imaging (MRI) with 25 frames/s, and the audio signal was recorded via an optical microphone system. Analysis was performed with regard to sound pressure level (SPL), vibrato amplitude, and frequency and resonance frequencies as well as articulatory settings of the vocal tract. The analysis revealed three primary differences between dramatic and lyric singing: Dramatic singing was associated with greater SPL and greater vibrato amplitude and frequency as well as lower resonance frequencies. The higher SPL is an indication of voice source changes, and the lower resonance frequencies are probably caused by the lower larynx position. However, all these strategies showed a considerable individual variability. The singers' Fach might contribute to perceptual differences even for the same singer with regard to the respective repertoire.
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Música , Canto , Calidad de la Voz , AcústicaRESUMEN
INTRODUCTION: During the Covid-19 pandemic, choirs had to apply safety measures such as distances and wearing masks. For children's choirs, there is no knowledge of their reaction to these measures, regarding their age and experience. This study aimed to investigate boys choir singers' perceptions of the measures, regarding wellbeing and feasibility, as well as the quality of the performance outcomes. METHODS: Six groups were put together, assembling five singers of the same age (7-16 years, before voice change) and experience level. The boys sang one verse of the same song at inter-subject distances of 3, 1.5, 0.5, 0.5 m plus wearing a mask and again 3 m. Afterward they filled out questionnaires concerning difficulty, irritation, hearing themselves and their neighbors, and if they could imagine singing regularly in the respective setting. Fifteen parents were asked to fill out questionnaires about their opinions about choir safety measures during the pandemic. Six anonymous boys choir experts rated the randomized recordings of all tasks regarding homogenous sound quality, rhythmical precision, and uniform intonation. RESULTS: Even though most of the children preferred smaller distances, they were open to all kinds of settings. The answers given were very specific to the individuals. Masks were voted out by a majority of the subjects. Parents found choir singing very important for their children and did in majority neither fear infection of their children, nor mind precautions. The experts rated the performance outcomes of the largest distance (3 m) as best in most of the cases. CONCLUSION: Different interspatial settings do not harm the children and adolescents and could be introduced as a beneficial approach to give them a broader listening experience and to make them flexible, alert, adaptable, and resilient singers. Singers' masks are only recommended for compelling circumstances.
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INTRODUCTION: Vocal tract adjustments are important for resonatory modification of the voice and also with respect to interactions concerning the voice source production. It is not clear, however, how fast, separated notes (staccato) influence vocal tract adjustments. MATERIAL AND METHODS: Twelve professional singers (four sopranos, three mezzo-sopranos, three tenors, and two baritones/basses) were recorded with dynamic real-time 2D-magnetic resonance imaging (MRI) with 25 fps singing a scale in legato and different staccato speeds (60, 120, 180, and 240 bps). From the MRI material, the lip opening, jaw opening, jaw protrusion, tongue position, pharynx width, and larynx position were measured. Furthermore, the fundamental frequency was analyzed from the simultaneously recorded audio signal after noise cancellation. RESULTS: The data show only very small differences between the legato and the staccato tasks and no great variations for different staccato speeds. During the pauses in between the staccato notes, minimal vocal tract adjustments were only detectable for the slowest staccato task. CONCLUSION: There are no great differences in the vocal tract shapes for legato singing in contrast to staccato phonation and no great differences for different staccato speeds.
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During the Covid-19 pandemic, choral singing has been either completely prohibited or regulated with safety measures due to increased transmission risks. However, the impact of larger inter-singer spacings on the performance and educational process in boys' choirs is unclear. This study analyzed recordings of six groups of five singers each from two boys' choirs aged 7-16 who sang Beethoven's Ode to Joy while standing on an arc with a 4 m radius and an inter-subject spacing of 0.5-3 m. The effects of singers' masks, distance, group age, and relative position on the timing of articulation and fundamental frequency were investigated, along with the amount, rate, and sign of pitch drift and loudness. The ANOCOVA results showed that onsets were robust to the tested factors, while errors in fundamental frequency tended to decrease with increasing age/experience. Loudness was affected by distance, mask, and relative position, with increasing loudness as spacing decreased. Understanding influencing factors can inform recommendations for choral singing and education.
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We present a framework for the acquisition and parametrization of object material properties. The introduced acquisition device, denoted as Texplorer2, is able to extract surface material properties while a human operator is performing exploratory procedures. Using the Texplorer2, we scanned 184 material classes which we labeled according to biological, chemical, and geological naming conventions. Based on these real material recordings, we introduce a novel set of mathematical features which align with corresponding material properties defined in perceptual studies from related work and classify the materials using common machine learning techniques. Validation results of the proposed multi-modal features lead to an overall classification accuracy of 90.2% ± 1.2% and an F[Formula: see text] score of 0.90 ± 0.01 using the random forest classifier. For the sake of comparison, a deep neural network is trained and tested on images of the material surfaces; it outperforms (90.7% ± 1.0%) the hand-crafted feature-based approach yet leads to more critical misclassifications in terms of the proposed taxonomy.