Abstract:Effective teaching and learning, not only taking into account the good teaching methodology and facilities but the acoustic level in the classroom should also be addressed. RT-60 is the time required for sound decay in a classroom. The time taken for the sound to decay depends on the absorption coefficients (α) of surface material and the volume of the room. This paper aims to identify potential treatment materials for improving the value of RT-60 of the selected unoccupied teaching hall/classroom at one of th… Show more
“…The detailed configuration for surface treatments is presented in Table 2. In a prior investigation conducted by Abdullah et al (2020), the ODEON software was utilized to implement acoustic improvements in university classrooms located in Malaysia. The simulation incorporates gypsum board and perforated plywood as materials for treating the walls and ceilings.…”
Section: Simulation Work For Acoustics Treatment Alternativesmentioning
confidence: 99%
“…As mentioned by Acoustical Society of America ( 2000), installing a new lay-in ceiling suspended from the original ceiling is one of the treatments that can reduce the RT to desirable condition. In addition, the simulation method demonstrated that optimal RT conditions in classrooms can be attained by substituting reinforced concrete walls and microfiber ceilings with gypsum board and perforated plywood that is 12 mm thick (Abdullah et al, 2020). An adequate number of absorptive materials are required to be placed on the ceiling, walls, and floors to achieve a suitable RT for classrooms (Sundaravadhanan et al, 2017).…”
Section: Effects Of Surface Treatment On Reverberation Timementioning
Students encounter difficulties in speech comprehension because of unfavorable classroom acoustics conditions, which subsequently affect their cognitive development and academic performance. Therefore, optimal listening conditions are required to ensure that listeners perceive and recognize speech effectively. This invites numerous studies to explore plausible acoustic interventions and treatments as an initiative to remediate the issue. Thus, this study seeks to a) identify the actual acoustic conditions in two (2) classrooms in the Faculty of Built Environment, Universiti Malaysia Sarawak, and b) establish economical acoustic design strategies for future improvements. This quantitative study embarks on on-site acoustic measurements to evaluate the reverberation time and background noise level of the selected classrooms. The data from the on-site measurement is applied for 3D model verification for the simulation process. The establishment of plausible design treatment alternatives is further analyzed through simulation using ODEON software. The simulation process yielded the effects of a) material surface treatment and b) sound field amplification systems on several acoustic parameters. The findings reveal that the surface treatment using low-cost material and the installation of sound field amplification significantly enhanced the classroom acoustic quality and are feasible to be implemented for future improvements.
“…The detailed configuration for surface treatments is presented in Table 2. In a prior investigation conducted by Abdullah et al (2020), the ODEON software was utilized to implement acoustic improvements in university classrooms located in Malaysia. The simulation incorporates gypsum board and perforated plywood as materials for treating the walls and ceilings.…”
Section: Simulation Work For Acoustics Treatment Alternativesmentioning
confidence: 99%
“…As mentioned by Acoustical Society of America ( 2000), installing a new lay-in ceiling suspended from the original ceiling is one of the treatments that can reduce the RT to desirable condition. In addition, the simulation method demonstrated that optimal RT conditions in classrooms can be attained by substituting reinforced concrete walls and microfiber ceilings with gypsum board and perforated plywood that is 12 mm thick (Abdullah et al, 2020). An adequate number of absorptive materials are required to be placed on the ceiling, walls, and floors to achieve a suitable RT for classrooms (Sundaravadhanan et al, 2017).…”
Section: Effects Of Surface Treatment On Reverberation Timementioning
Students encounter difficulties in speech comprehension because of unfavorable classroom acoustics conditions, which subsequently affect their cognitive development and academic performance. Therefore, optimal listening conditions are required to ensure that listeners perceive and recognize speech effectively. This invites numerous studies to explore plausible acoustic interventions and treatments as an initiative to remediate the issue. Thus, this study seeks to a) identify the actual acoustic conditions in two (2) classrooms in the Faculty of Built Environment, Universiti Malaysia Sarawak, and b) establish economical acoustic design strategies for future improvements. This quantitative study embarks on on-site acoustic measurements to evaluate the reverberation time and background noise level of the selected classrooms. The data from the on-site measurement is applied for 3D model verification for the simulation process. The establishment of plausible design treatment alternatives is further analyzed through simulation using ODEON software. The simulation process yielded the effects of a) material surface treatment and b) sound field amplification systems on several acoustic parameters. The findings reveal that the surface treatment using low-cost material and the installation of sound field amplification significantly enhanced the classroom acoustic quality and are feasible to be implemented for future improvements.
“…The reverberation of a space has positive and negative aspects: in fact, if a certain value of the reverberation time helps to reinforce the direct sound it therefore improves listening; on the other hand, an excessive value of the sound tail compromises its quality [1,2]. For good reception, both in the case of speech and in the case of music, it is necessary to contain the decaying tail of reflected sound from a source and ensure a good spatial distribution of the sound field inside the room so that all listeners can perceive and appreciate the sound regardless of the space in which they are located [21].…”
The measurement of reverberation time is an essential procedure for the characterization of the acoustic performance of rooms. The values returned by these measurements allow us to predict how the sound will be transformed by the walls and furnishings of the rooms. The measurement of the reverberation time is not an easy procedure to carry out and requires the use of a space in an exclusive way. In fact, it is necessary to use instruments that reproduce a sound source and instruments for recording the response of the space. In this work, an automatic procedure for estimating the reverberation time based on the use of artificial neural networks was developed. Previously selected sounds were played, and joint sound recordings were made. The recorded sounds were processed with the extraction of characteristics, then they were labeled by associating to each sound the value of the reverberation time in octave bands of that specific room. The obtained dataset was used as input for the training of an algorithm based on artificial neural networks. The results returned by the predictive model suggest using this methodology to estimate the reverberation time of any closed space, using simple audio recordings without having to perform standard measurements or calculate the integration explicitly.
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