Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing

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 stud...

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Main Authors: Jialin Gang, Yi Li
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2021/9155214
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spelling doaj-c4fd2e8240e548c2a285a86f0aa222862021-09-06T00:00:19ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/9155214Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud ComputingJialin Gang0Yi Li1School of Digital Arts and DesignSchool of Digital Arts and DesignTraditionally, 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.http://dx.doi.org/10.1155/2021/9155214
collection DOAJ
language English
format Article
sources DOAJ
author Jialin Gang
Yi Li
spellingShingle Jialin Gang
Yi Li
Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
Mobile Information Systems
author_facet Jialin Gang
Yi Li
author_sort Jialin Gang
title Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
title_short Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
title_full Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
title_fullStr Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
title_full_unstemmed Simulation Design and Implementation of Voice Landscape Quantification in Virtual Reality Based on Cloud Computing
title_sort simulation design and implementation of voice landscape quantification in virtual reality based on cloud computing
publisher Hindawi Limited
series Mobile Information Systems
issn 1875-905X
publishDate 2021-01-01
description 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.
url http://dx.doi.org/10.1155/2021/9155214
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