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A mixed-reality approach to soundscape assessment of outdoor urban environments augmented with natural sounds

机译:利用自然声音增强户外城市环境的声景评估的混合现实方法

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摘要

To investigate the effect of augmenting natural sounds in noisy environments, an in-situ experiment was conducted using a mixed-reality head-mounted display (MR HMD). Two outdoor locations close to an expressway were selected for the experiment. A natural sound (birdsong or stream) along with a hologram (sparrow/fountain or loudspeaker) was projected through the MR HMD. Participants were asked to adjust the natural sound levels to their preferred level under ambient traffic noise conditions at each location. Participants also assessed the perceived loudness of traffic (PLN) and overall soundscape quality (OSQ) in conditions with and without the augmented natural sounds. The results showed that both natural sounds significantly reduced the PLN and enhanced the OSQ. No significant differences in subjective responses were found between the loudspeaker and visual representations of the natural sound source as holograms. Analysis on the preferred signal-to-noise ratio (SNR), i.e. ratio of natural sound to traffic levels, indicated a strong negative correlation between the preferred SNRs and ambient traffic noise levels. Overall, the preferred SNR of the birdsong was significantly higher than that of the water sound. Among the acoustic parameters tested, the A-weighted traffic noise level was the strongest predictor for the preferred SNR of both the birdsong and water sound. However, the correlation for the water sound was relatively higher than the birdsong. This was due to the larger variance in the subjective evaluation for the birdsong.
机译:为了研究增强自然声音在嘈杂环境中的影响,使用混合现实头戴式显示器(HMD)进行了原位实验。选择靠近高速公路的户外位置进行实验。通过HMD先生预测了一种自然声音(鸟类或流)以及全息图(麻雀/喷泉或扬声器)。要求参与者在每个位置的环境交通噪声条件下将自然声级调整为首选水平。参与者还在带有增强自然声音的条件下评估了交通(PLN)和整体音景质量(OSQ)的感知响度。结果表明,两种天然声音都显着降低了PLN并增强了OSQ。在扬声器和自然声源的视觉表示之间没有在全息图之间发现主观反应的显着差异。分析优选的信噪比(SNR),即天然声音与流量水平的比率,表明了优选的SNR和环境交通噪声水平之间的强负相关。总的来说,鸟类的优选SNR显着高于水声。在测试的声学参数中,A加权交通噪声水平是鸟类和水声的优选SNR的最强预测因子。然而,水声的相关性比鸟类相对高。这是由于鸟类的主观评估方差较大。

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