LAPSE:2023.31253
Published Article

LAPSE:2023.31253
Comparison between Predictive and Measurement Methods of Speech Intelligibility for Educational Rooms of Different Sizes with and without HVAC Systems
April 18, 2023
Abstract
Heating ventilation and air conditioning (HVAC) systems represent one of the main noise sources inside classrooms. This explain why HVAC systems require careful design, competent installation and balancing, and regular maintenance. Many factors influence the classroom acoustical design, such as air handlers or fans, the velocity of air inside the classroom, as well as the size and acoustical treatment of ducts, returns, and diffusers. Acoustic parameters, including background-noise levels, reverberation time, and intelligibility, were analyzed in 17 classrooms at the Università Politecnica in the Marche region. The study of intelligibility was performed by measuring the objective parameters in situ and using prediction methods to determine the intelligibility score. The relationship between speech intelligibility measurements and speech intelligibility calculation has been studied. The relationship between the STI values with the background-noise levels and the reverberation time was also studied. This research shows that a comparison between predictive methods and measurement methods results in speech intelligibility for classrooms of different sizes with and without HVAC systems. The current method of calculating the voice transmission index (STI), proposed by national and international standards, has been used to determine speech intelligibility scores in classrooms. The results show that the calculation tool has computational robustness allowing its use in preliminary evaluations of speech intelligibility, design of the optimal type of school buildings, and sound amplification systems in classrooms that comply with Italian regulations.
Heating ventilation and air conditioning (HVAC) systems represent one of the main noise sources inside classrooms. This explain why HVAC systems require careful design, competent installation and balancing, and regular maintenance. Many factors influence the classroom acoustical design, such as air handlers or fans, the velocity of air inside the classroom, as well as the size and acoustical treatment of ducts, returns, and diffusers. Acoustic parameters, including background-noise levels, reverberation time, and intelligibility, were analyzed in 17 classrooms at the Università Politecnica in the Marche region. The study of intelligibility was performed by measuring the objective parameters in situ and using prediction methods to determine the intelligibility score. The relationship between speech intelligibility measurements and speech intelligibility calculation has been studied. The relationship between the STI values with the background-noise levels and the reverberation time was also studied. This research shows that a comparison between predictive methods and measurement methods results in speech intelligibility for classrooms of different sizes with and without HVAC systems. The current method of calculating the voice transmission index (STI), proposed by national and international standards, has been used to determine speech intelligibility scores in classrooms. The results show that the calculation tool has computational robustness allowing its use in preliminary evaluations of speech intelligibility, design of the optimal type of school buildings, and sound amplification systems in classrooms that comply with Italian regulations.
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Keywords
acoustic comfort, acoustic measurements, intelligibility, speech transmission index
Subject
Suggested Citation
Di Loreto S, Serpilli F, Lori V, Di Perna C. Comparison between Predictive and Measurement Methods of Speech Intelligibility for Educational Rooms of Different Sizes with and without HVAC Systems. (2023). LAPSE:2023.31253
Author Affiliations
Di Loreto S: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy [ORCID]
Serpilli F: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy [ORCID]
Lori V: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy [ORCID]
Di Perna C: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy
Serpilli F: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy [ORCID]
Lori V: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy [ORCID]
Di Perna C: Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Brecce Bianche 12, 60131 Ancona, Italy
Journal Name
Energies
Volume
16
Issue
6
First Page
2719
Year
2023
Publication Date
2023-03-14
ISSN
1996-1073
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Original Submission
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PII: en16062719, Publication Type: Journal Article
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LAPSE:2023.31253
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https://doi.org/10.3390/en16062719
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Apr 18, 2023
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