Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, Omaha, Nebraska 68182, USA.
J Acoust Soc Am. 2021 Aug;150(2):864. doi: 10.1121/10.0005815.
This project acquired sound levels logged across six school days and impulse responses in 220 classrooms across four K-12 grades. Seventy-four percent met reverberation time recommendations. Sound levels were processed to estimate occupied signal-to-noise ratios (SNRs), using Gaussian mixture modeling and from daily equivalent and statistical levels. A third method, k-means clustering, estimated SNR more precisely, separating data on nine dimensions into one group with high levels across speech frequencies and one without. The SNRs calculated as the daily difference between the average levels for the speech and non-speech clusters are found to be lower than 15 dB in 27.3% of the classrooms and differ from using the other two methods. The k-means data additionally indicate that speech occurred 30.5%-81.2% of the day, with statistically larger percentages found in grade 3 compared to higher grades. Speech levels exceeded 65 dBA 35% of the day, and non-speech levels exceeded 50 dBA 32% of the day, on average, with grades 3 and 8 experiencing speech levels exceeding 65 dBA statistically more often than the other two grades. Finally, classroom speech and non-speech levels were significantly correlated, with a 0.29 dBA increase in speech levels for every 1 dBA in non-speech levels.
本项目获取了六个上学日的噪声级数据和四个 K-12 年级 220 间教室的脉冲响应数据。74%的教室满足混响时间推荐值。通过高斯混合建模和每日等效声级和统计声级,对噪声级数据进行处理以估计占用信噪比(SNR)。第三种方法 k-均值聚类更精确地估计了 SNR,将九个维度的数据分为一组,在语音频率范围内具有较高水平,另一组则没有。发现计算的 SNR 值作为语音和非语音聚类的平均水平之间的每日差异,在 27.3%的教室中低于 15dB,与使用其他两种方法不同。k-均值数据还表明,在一天中 30.5%-81.2%的时间内有语音出现,与高年级相比,三年级的统计百分比更大。平均而言,每天有 35%的时间语音水平超过 65 dBA,有 32%的时间非语音水平超过 50 dBA,与其他两个年级相比,三年级和八年级的语音水平超过 65 dBA 的统计次数更多。最后,教室语音和非语音水平显著相关,非语音水平每增加 1dB,语音水平就会增加 0.29dB。