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Comparison of models to predict the effect of background speech on work performance in open-plan offices

机译:模型比较预测背景言论语音对开放式办公室工作性能的影响

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There are different models to estimate the relationships between measurable acoustical parameters and office workers' perception, well-being and performance. These models are based on speech transmission index (STI), fluctuation strength (FS) or percentile level statistics. Whilst STI requires a loudspeaker and is measured in unoccupied conditions, other metrics, such as FS or percentile level statistics, can be determined in situ during usual working hours. Nonetheless, the established models have some shortcomings. STI can estimate the effect of one simulated speech source on short-term memory performance but it cannot assess the effect of office noise exposure in occupied offices. FS correlates with the impact of temporal-spectral variability of a background sound on short-term memory performance but it depends on the sound pressure level which does not have an effect on the short-term memory performance. Percentile level statistics correlate with the speech-to-noise ratio: higher differences between the 10th and 90th percentile levels measured with fast time weighting lead to lower number recall performances. As part of this study 110 sound conditions under which subjects have to complete a number recall task are evaluated with respect to their relationships with these three acoustical parameters. A cross-validation reveals comparable prediction qualities of the models.
机译:有不同的模型来估计可测量的声学参数和办公室工作人员感知,福祉和性能之间的关系。这些模型基于语音传输索引(STI),波动强度(FS)或百分位级别统计。虽然STI需要扬声器并在未占用的条件下测量,但在通常的工作时间内可以在原位确定其他度量,例如FS或百分位数统计数据。尽管如此,建立的模型有一些缺点。 STI可以估计一个模拟语音源对短期内存性能的影响,但它无法评估办公室噪声暴露在占用办公室的效果。 FS与背景声音的时间光谱变异性与短期内存性能的影响相关联,但它取决于对短期内存性能没有影响的声压水平。百分位级别统计与语音到噪声比相关:使用快速时间加权测量的第10和第90位百分位数之间的差异导致数量较低的召回性能。作为本研究的一部分,110在其与这三个声学参数的关系中,评估受试者的声音条件。交叉验证揭示了模型的可比预测品质。

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