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首页> 外文会议>2014 International Conference on Management and Engineering >Using Soundscape Model to Control Ambient Noise Based on Sound Preference Evaluation
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Using Soundscape Model to Control Ambient Noise Based on Sound Preference Evaluation

机译：基于声音偏好评估的Soundscape模型控制环境噪声

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Nowadays,urban ambient noise is an urgent problem to impede social well-being in a city.It impacts not only people's recreation outside but also influences occupants' physical comfort inside.There is no doubt that noise is becoming the second environmental problem in a city.Moreover,noise is also caused window-closing behavior for protecting noise annoyance,which leads to more energy consumption.To control an ambient noise is therefore a key topic in today's urban renewal.A traditional method for noise controlling is to make urban noise regulation,in which all sounds are treated as unwanted sounds that have to be reduced.Current research has found that different sounds especially social and natural sounds have different influence in terms of various situations.A typical case is square dance that is considered notorious by some ones but welcome by others.It is found that “soundscape” not “noise” is more useful in controlling ambient noise while sound preference evaluation cannot be ignored.A modeling technique is then developed in this paper using soundscape concept to control ambient noise focusing on sound preference evaluation.Based on broad social surveys to existing sounds within an urban context,artificial neural network model has been developed to evaluate sound preference perception within a certain environmental situation.Through such model technique,specific sound environment has been defined and marked for a broad wide ambient noise control.Eventually,soundscape model will be applied to control a city's ambient noise by its evaluation function.
机译：如今，城市环境噪声已成为阻碍城市社会福祉的紧迫问题。它不仅影响人们的户外娱乐活动，而且影响内部居民的身体舒适度。毫无疑问，噪声正在成为城市中的第二个环境问题。此外，噪声还会导致关闭窗户的行为，以保护噪声烦人，从而导致更多的能源消耗。因此，控制环境噪声是当今城市更新的关键主题。传统的噪声控制方法是对城市噪声进行调节。当前的研究发现，不同的声音，尤其是社交和自然声音，在各种情况下都会产生不同的影响。典型的例子是被某些人认为臭名昭著的广场舞但是，“声景”而非“噪声”在控制环境噪声方面更有用，而声音偏好评估则不可忽略然后，本文使用音景概念开发了一种建模技术，以声音偏好评估为重点来控制环境噪声。基于对城市环境中现有声音的广泛社会调查，开发了人工神经网络模型来评估内部的声音偏好感知通过这种模型技术，已经定义并标记了特定的声音环境，以实现广泛的环境噪声控制。最终，将通过声景模型通过其评估功能来控制城市的环境噪声。

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