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首页> 外文期刊>International Journal of Naval Architecture and Ocean Engineering >Psycho-acoustic evaluation of the indoor noise in cabins of a naval vessel using a back-propagation neural network algorithm
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Psycho-acoustic evaluation of the indoor noise in cabins of a naval vessel using a back-propagation neural network algorithm

机译：基于反向传播神经网络算法的舰船舱室内噪声的心理声学评估

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ABSTRACT The indoor noise of a ship is usually determined using the A-weighted sound pressure level. However, in order to better understand this phenomenon, evaluation parameters that more accurately reflect the human sense of hearing are required. To find the level of the satisfaction index of the noise inside a naval vessel such as “Loudness” and “Annoyance”, psycho-acoustic evaluation of various sound recordings from the naval vessel was performed in a laboratory. The objective of this paper is to develop a single index of “Loudness” and “Annoyance” for noise inside a naval vessel according to a psycho-acoustic evaluation by using psychological responses such as Noise Rating (NR), Noise Criterion (NC), Room Criterion (RC), Preferred Speech Interference Level (PSIL) and loudness level. Additionally, in order to determine a single index of satisfaction for noise such as “Loudness” and “Annoyance”, with respect to a human's sense of hearing, a back-propagation neural network is applied.
机译：摘要船舶的室内噪声通常使用A加权声压级确定。但是，为了更好地理解这种现象，需要更准确地反映人类听觉的评估参数。为了找到诸如“响度”和“烦恼”之类的海军舰船内噪声的满意度指数水平，在实验室中对来自海军舰艇的各种录音进行了心理声学评估。本文的目的是根据心理声学评估，通过使用诸如噪声评级（NR），噪声准则（NC），房间标准（RC），首选语音干扰级别（PSIL）和响度级别。另外，为了确定关于人的听觉的对诸如“响度”和“烦恼”之类的噪声的满意度的单个指标，应用了反向传播神经网络。

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