Measuring the speech level and the student activity in lecture halls: Visual- vs blind-segmentation methods

D’Orazio, Dario; Salvio, Domenico De; Anderlucci, Laura; Garai, Massimo

doi:10.1016/j.apacoust.2020.107448

Cited by 18 publications

(10 citation statements)

References 24 publications

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“…The main room and intelligibility criteria measured in unoccupied condition are also provided: the reverberation time (T 30 ) at mid frequencies and the speech transmission index (STI) (EN ISO (2008); BS EN (2011); UNI (2018); DIN ( 2016)). The second campaign of measurements was intended to obtain sound pressure levels related to the student activity (D'Orazio et al (2020)). Therefore, it was performed in occupied state by recording an entire day of lessons in each hall.…”

Section: Measurementsmentioning

confidence: 99%

“…Since there is no standard measurement procedure, scholars assessed the student activity by means of sound level meters and employing various approaches. Some analyses are based on the equivalent and percentile levels (Shield et al (2015); Bottalico and Astolfi (2012)), others exploited machine learning algorithms (Hodgson et al (1999); Peng et al (2018); Choi (2020); Sato and Bradley (2012);D'Orazio et al (2020); Wang et al (2020)).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Acoustical comfort in university lecture halls:simulating the dynamic role of occupancy

Fratoni¹,

Salvio²,

D’Orazio³

et al. 2021

Building Simulation Conference Proceedings

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The acoustic comfort in teaching environments is generally determined through requirements concerning reverberation time, speech intelligibility and HVAC noise. The presence of students reduces the reverberation time but concurrently increases the background noise, that undermines the focus of students and the vocal effort of teachers. A double set of measures were acquired in two university lecture halls in unoccupied and occupied state to investigate the consequences of occupancy variations. Acoustic simulations allowed to assess the dynamic effects of the occupancy detecting the differences of speech intelligibility. Predicting the student activity may return reliable outcomes improving the quality of lessons.

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Section: Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Acoustical comfort in university lecture halls:simulating the dynamic role of occupancy

Fratoni¹,

Salvio²,

D’Orazio³

et al. 2021

Building Simulation Conference Proceedings

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show abstract

“…Everyday communication in classrooms takes place in the presence of concurrent noise, mainly generated by the students themselves (e.g., voices, movements), whose dynamical behavior strongly impacts the acoustic quality of the classroom [1]. One of the most challenging conditions for school-aged children is when the teacher's message is masked by informative noise (i.e., a masker composed of a small number of speech streams).…”

Section: Introductionmentioning

confidence: 99%

Cognitive effort in school-aged children

Visentin,

Pellegatti,

Prodi

2024

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

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Sustained cognitive demands from effortful listening may compromise the well-being and learning of school-aged children. It is well-assessed that performing a speech perception task in challenging acoustic conditions (e.g. presence of background noise, too much reverberation) increases the children's effort, due to the need for exploiting additional cognitive resources. However, less is known about the effects of such unfavorable listening conditions on effort concerning tasks that better resemble actual learning activities, and rely on domain-specific skills. This study aimed to investigate the effect of listening conditions on cognitive effort (behavioral and subjective) in primary school children concerning maths. A total of 121 children aged between 8 and 11 years performed a math facts task in quiet and in the presence of a two-talker noise (signal-to-noise ratio: +1 dB). Individual inhibitory skills and noise sensitivity were also assessed in quiet, on the account that they might influence the effect of the listening conditions on the task. Results will help in understanding the mechanisms underpinning effort in school-aged children, thus promoting the acoustic design of more inclusive spaces and informing intervention strategies.

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“…As far as the acoustic scenario is concerned, face masks affect speech communication, leading to excessive vocal effort for the talker and increased listening effort for the listener [ 5 , 8 ] due to several factors. Among others, it is worth considering: (i) the use of face masks, which differ in material and shape, (ii) the communication intent and situation (e.g., talking with a spontaneous or a clear speech [ 9 ]), (iii) the characteristics of talkers and listeners (e.g., having or not having voice pathologies [ 6 ], using or not using a voice amplification system [ 10 ], being or not being either normal hearing or mother-tongue [ 11 ]), (iv) the acoustic environmental conditions (e.g., noise and reverberation [ 12 ]). However, for the aim of the present pilot study, the latter was not considered.…”

Section: Introductionmentioning

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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Measuring the speech level and the student activity in lecture halls: Visual- vs blind-segmentation methods

Cited by 18 publications

References 24 publications

Acoustical comfort in university lecture halls:simulating the dynamic role of occupancy

Acoustical comfort in university lecture halls:simulating the dynamic role of occupancy

Cognitive effort in school-aged children

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

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