Traditionally, the recognition of sound mainly focuses on the source of sound, such as level and quality. Now, the sound, the environment, and the listeners have begun to study the landscape structure, composition, and characteristics of the acoustic environment. The purpose of this paper is to study the simulation design of virtual reality voice landscape quantification based on cloud computing. Firstly, the definition and characteristics of cloud computing are described, and the key technologies of cloud computing are analyzed. Combined with the basic principles of technology selection, the virtualization technology is emphatically analyzed. By selecting 7 acoustic elements, such as traffic sound, water flow sound, fountain sound, birdsong, wind sound, rippling sound, beach sound, and seabird sound, the possible acoustic elements in a given park environment are simulated for subjective evaluation. The experimental results show that when the traffic sound is 60 dB, the evaluation result of the superimposed sound type is the same as that when the traffic sound is 50 dB. For the superimposed sound level, 30 dB and 40 dB are significantly different from 60 dB and 70 dB, respectively, 50 dB is only significantly different from 70 dB, while 60 dB is only not significantly different from 50 dB, and 70 dB evaluation is significantly different from each sound level. However, 60 dB can be regarded as the turning point of the evaluation result. When the sound level of the added sound is greater than 60 dB, the evaluation result is obviously worse.

中文翻译：

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基于云计算的虚拟现实语音景观量化仿真设计与实现

传统上，对声音的识别主要侧重于声音的来源，例如电平和质量。现在，声音、环境和听者开始研究声环境的景观结构、组成和特征。本文旨在研究基于云计算的虚拟现实语音景观量化仿真设计。首先阐述了云计算的定义和特点，分析了云计算的关键技术。结合技术选择的基本原则，重点分析了虚拟化技术。通过选择交通声、水流声、喷泉声、鸟鸣、风声、涟漪、沙滩声、海鸟声等7个声学元素，模拟给定公园环境中可能的声学元素以进行主观评估。实验结果表明，当交通声音为60 dB时，叠加声音类型的评估结果与交通声音为50 dB时的评估结果相同。对于叠加声级，30 dB和40 dB分别与60 dB和70 dB显着不同，50 dB仅与70 dB显着不同，而60 dB仅与50 dB无显着差异，70 dB评价为与每个声级显着不同。但是，60dB 可以看作是评估结果的转折点。当添加声音的声级大于60dB时，评价结果明显变差。实验结果表明，当交通声音为60 dB时，叠加声音类型的评估结果与交通声音为50 dB时的评估结果相同。对于叠加声级，30 dB和40 dB分别与60 dB和70 dB显着不同，50 dB仅与70 dB显着不同，而60 dB仅与50 dB无显着差异，70 dB评价为与每个声级显着不同。但是，60dB 可以看作是评估结果的转折点。当添加声音的声级大于60dB时，评价结果明显变差。实验结果表明，当交通声音为60 dB时，叠加声音类型的评估结果与交通声音为50 dB时的评估结果相同。对于叠加声级，30 dB和40 dB分别与60 dB和70 dB显着不同，50 dB仅与70 dB显着不同，而60 dB仅与50 dB无显着差异，70 dB评价为与每个声级显着不同。但是，60dB 可以看作是评估结果的转折点。当添加声音的声级大于60dB时，评价结果明显变差。30 dB 和 40 dB 分别与 60 dB 和 70 dB 有显着差异，50 dB 仅与 70 dB 显着不同，而 60 dB 仅与 50 dB 无显着差异，70 dB 的评估对每个声级都有显着差异. 但是，60dB 可以看作是评估结果的转折点。当添加声音的声级大于60dB时，评价结果明显变差。30 dB 和 40 dB 分别与 60 dB 和 70 dB 有显着差异，50 dB 仅与 70 dB 显着不同，而 60 dB 仅与 50 dB 无显着差异，70 dB 的评估对每个声级都有显着差异. 但是，60dB 可以看作是评估结果的转折点。当添加声音的声级大于60dB时，评价结果明显变差。