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An Alternative Method for the Estimation of the Perceptual Loudness Measure

机译:一种估计感知响度测量的替代方法

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Perceptual Loudness is the perceptual measurement of the loudness level of an audio signal being observed by a human, which is measured in Phon. It is of note that the perceived loudness of an audio signal is not solely dependent on the amplitude of the signal, but also highly dependent on the frequency of signal. For computational purposes, the calculation of the perceived loudness from the more analytical measurements of sound pressure level (dB) and frequency (Hz) is outlined in the International Standard ISO226:2003 [1]. This standard includes a formula for the calculation of perceived loudness based on 29 specified frequencies. An alternative method for the calculation of perceived loudness is proposed in this paper, incorporating the use of Artificial Neural Networks. The development of this A.N.N. implementation is also outlined, along with the benefits that this A.N.N. methodology has over the established methods.
机译:感知响度是由人类观察到的音频信号的响度水平的感知测量,该音频信号被测量为响声。值得注意的是,音频信号的感知响度并不完全取决于信号的幅度,而且非常依赖于信号的频率。为了计算目的,在国际标准ISO226:2003 [1]中概述了从声压级(DB)和频率(HZ)的更频率测量的感知响度的计算。该标准包括基于29个特定频率计算感知响度的公式。本文提出了一种用于计算感知响度的替代方法,包括使用人工神经网络。这个A.N.N的发展也概述了实施,以及这个A.N.N.方法具有既定方法。

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