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Evaluation of Speech Privacy in Passenger Cars of High-Speed Trains Based on Room Acoustic Parameters

机译:基于室内声学参数的高速列车客车语音隐私评估

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Speech privacy is important for improving the quality of the acoustic environment in high-speed train compartments because the conversation of other passengers is a major source of disturbing noises in high-speed trains. In order to provide an acoustic environment amenable to speech privacy, it is necessary to explore the room acoustic conditions of passenger cars in high-speed trains. The present study investigates speech privacy in the passenger cars of a high-speed train using the room acoustic parameters suggested in ISO 3382-3. Single-number quantities(D_(2,S), L_(p,A,S,4m), r_D and r_P) were measured in an example passenger car to evaluate the spatial decay of the sound pressure level and sound transmission index (STI). Computer simulations were also conducted to explore the effects of changing absorption coefficients and background noise levels on the single-number quantities. We found that D_(2,S) and L_(p,A,S,4m) values changed significantly with variation in average absorption coefficients, but that these parameters did not depend on the background noise levels. It was also found the privacy distance (r_P), rather than the distraction distance (r_D), to be a useful parameter for designing speech privacy in a passenger car, due to high background noise levels. The effect of absorption coefficients on r_P was less than that of the background noise levels. In addition, regression models to predict the single-number quantities based on average absorption coefficients and background noise levels are suggested, and these can be used in practice to help with the design of acoustic environments promoting speech privacy in the passenger cars of a high-speed train.
机译:语音隐私对于提高高速火车车厢中的声学环境的质量很重要,因为其他乘客的交谈是高速火车中干扰噪音的主要来源。为了提供适合语音隐私的声学环境,有必要探索高速列车中乘用车的室内声学条件。本研究使用ISO 3382-3中提出的室内声学参数,对高速列车客车的语音隐私进行了调查。在示例乘用车中测量了单数数量(D_(2,S),L_(p,A,S,4m),r_D和r_P),以评估声压级和声传输指数(STI)的空间衰减)。还进行了计算机模拟,以探索变化的吸收系数和背景噪声水平对单个数量的影响。我们发现D_(2,S)和L_(p,A,S,4m)值随平均吸收系数的变化而显着变化,但这些参数不取决于背景噪声水平。还发现由于高背景噪声水平,隐私距离(r_P)而不是干扰距离(r_D)是设计乘用车语音隐私的有用参数。吸收系数对r_P的影响小于背景噪声水平的影响。此外,建议使用回归模型来基于平均吸收系数和背景噪声水平预测单个数量,这些模型可以在实践中用于帮助设计声学环境,从而提高高乘用车的语音隐私性。高速列车。

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