Traceability and uncertainty of vocal parameters estimated through a contact microphone

Carullo, Alessio; Penna, Alessio; Vallan, Alberto; Astolfi, Arianna; Pavese, Lorenzo; Puglisi, Giuseppina Emma

doi:10.1109/memea.2014.6860128

Cited by 4 publications

(4 citation statements)

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“…Since both devices were calibrated in laboratory, they provide measurements that are traceable to the same standards, thus allowing all the voice parameters to be collected in a single database. 34,35 The devices provide an estimation of the voice sound pressure levels at a fixed distance from the speaker's mouth, after a calibration to a reference microphone (SPL in dB), the fundamental frequency (F 0 in Hz) and the voicing time percentage (D t% in %), which is defined as the percentage of time spent phonating for the total monitoring period. 36 The calibration procedure was needed to accurately estimate the sound pressure levels from the voltage signals detected at the base of the neck.…”

Section: B Acoustic Parameters Of the Classroomsmentioning

confidence: 99%

Four-day-follow-up study on the voice monitoring of primary school teachers: Relationships with conversational task and classroom acoustics

Puglisi

Astolfi

Cutiva

et al. 2017

The Journal of the Acoustical Society of America

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The present study has investigated the occupational voice use of 27 female primary school teachers over a four-day-follow-up. Sixty-one working-day voice samples were acquired with two contact sensor-based vocal analyzers in four schools with highly different classroom acoustics. The vocal parameters were compared with a conversational task that the teachers performed before each lesson and with the measured classroom acoustic parameters. The average equivalent sound pressure level at 1 m from the mouth, which refers to the teacher's vocal effort, and the voicing time percentage were 71.2 dB [standard error (SE) 1.0 dB] and 29%, respectively. The teachers' mean voice level and fundamental frequency were significantly higher in the occupational setting than in the conversational one, which is by 5.5 dB (SE 0.5 dB) and 50 Hz (SE 3 Hz), respectively. Higher voice levels were observed for higher background noise levels, at a rate of 0.53 dB/dB, and a tendency of the background noise to increase with increasing reverberation time was observed at a rate of 13 dB/s. An optimal reverberation time of 0.7 s was found to minimize the voice level, since teachers raised their voice at lower and higher reverberation times, the latter presumably due to higher background noise levels.

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Section: B Acoustic Parameters Of the Classroomsmentioning

confidence: 99%

Four-day-follow-up study on the voice monitoring of primary school teachers: Relationships with conversational task and classroom acoustics

Puglisi

Astolfi

Cutiva

et al. 2017

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…Vertical bars represent the expanded uncertainty (95% of confidence level, C.I. ), which considers the instrumental uncertainty of the VHM, the contribution related to the fitting of the calibration curve [ 38 , 39 ], and the subject reproducibility.…”

Section: Resultsmentioning

confidence: 99%

“…Within this experimental campaign, voice monitoring was thus performed using the Vocal Holter Med (VHM) device, based on a piezoelectric contact microphone (model HX-505-1-1, HKKK, Jiadind Science Park, Dalang, Longhua New Dist., Shenzhen, Guangdong, China) positioned at the neck with a collar and connected to a data logger. The contact microphone is insensitive to the background noise in the room where the monitoring is carried out [ 35 , 38 , 39 ]. Moreover, the previous studies [ 35 ] investigated the reliability of voice monitoring results based on workers performing their everyday activities, including body movements.…”

Section: Methodsmentioning

confidence: 99%

Effects of Face Masks on Physiological Parameters and Voice Production during Cycling Activity

Astolfi

Puglisi

Shtrepi

et al. 2022

IJERPH

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This study investigates the effects of face masks on physiological and voice parameters, focusing on cyclists that perform incremental sports activity. Three healthy male subjects were monitored in a climatic chamber wearing three types of masks with different acoustic properties, breathing resistance, and air filtration performance. Masks A and B were surgical masks made of hydrophobic fabric and three layers of non-woven fabric of 100% polypropylene, respectively. Mask S was a multilayer cloth mask designed for sports activity. Mask B and Mask S behave similarly and show lower sound attenuation and sound transmission loss and lower breathing resistance than Mask A, although Mask A exhibits slightly higher filtration efficiency. Similar cheek temperatures were observed for Masks A and B, while a significantly higher temperature was measured with Mask S at incremental physical activity. No differences were found between the masks and the no-mask condition for voice monitoring. Overall, Mask B and Mask S are suitable for sports activities without adverse effects on voice production while ensuring good breathing resistance and filtration efficiency. These outcomes support choosing appropriate masks for sports activities, showing the best trade-off between breathing resistance and filtration efficiency, sound attenuation, and sound transmission loss.

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“…Therefore, the need to monitor voice use in field emerges. Research has focused on of the development of voice monitoring procedures through the use of wearable devices [13,14], which are based on appropriate calibration and uncertainty evaluation procedures for the estimation of voice parameters with high accuracy [15,16,17] and that are also accurate in the estimation of parameters related to voice diseases [18]. However, there is still need to widen research on the relationship between classroom acoustics and the vocal effort of teachers, especially for what concerns university classrooms.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Approach for the Evaluation of Vocal Behavior of University Professors

Astolfi,

Carullo,

Puglisi

et al. 2022

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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Voice risk factors for teachers were widely investigated, since this professional category is mainly subjected to vocal diseases. However, the existing literature focused on kinder-garden, primary and secondary school-teachers. In this study, the attention is towards the vocal behavior of university professors, who hold lessons in large classrooms, talk continuously for long time intervals and often use microphone to improve their intelligibility. An experimental campaign has been planned that involves subjects that teach in classrooms with different volume, reverberation-time and background-noise. The voice monitoring is performed using the Vocal Holter device, a portable vocal analyzer developed at Politecnico di Torino. The material collected for each professor includes a sustained vowel /a/, a comfortable free-speech (about 5 minutes), two lessons (max. 3 hours). The parameters extracted from the sustained vowel allow a preliminary vocal status of each subject to be assessed, while the free-speech parameters represent the baseline with respect the lesson parameters are compared to. A first pilot study has been carried out that involved 14 subjects that taught in 13 different classrooms. Results are reported in terms of vocal parameters and their correlation to classroom acoustical characteristics. Examples of parameters are jitter, shimmer and CPPS (sustained vowel), sound pressure level, fundamental frequency and duration of voice and silence periods (lessons).

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Traceability and uncertainty of vocal parameters estimated through a contact microphone

Cited by 4 publications

References 0 publications

Four-day-follow-up study on the voice monitoring of primary school teachers: Relationships with conversational task and classroom acoustics

Four-day-follow-up study on the voice monitoring of primary school teachers: Relationships with conversational task and classroom acoustics

Effects of Face Masks on Physiological Parameters and Voice Production during Cycling Activity

An Experimental Approach for the Evaluation of Vocal Behavior of University Professors

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