人类听觉系统对声音感知的一种人工神经网络模型

D. Riordan, J. Walsh, P. Doody
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引用次数: 0

摘要

人类听觉系统感知声音的方式与现代音频传感系统测量声音的方式大不相同。听觉感知中最常提到的方面是响度和音高,它们与频率和声压级的客观测量有关。本文描述了一种将频率和声压级感知因子转换为响度和音高感知因子的高效、准确的方法。这种方法是通过使用人工神经网络对听觉系统进行建模来实现的,并且将被证明比以前的方法具有一定的优势。
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An A.N.N. model of the perception of sound by the human auditory system
The human auditory system perceives sound in a much different manner than sound is measured by modern audio sensing systems. The most commonly referenced aspects of auditory perception are loudness and pitch which relate to the objective measures of frequency and sound pressure levels. This paper describes an efficient and accurate method for the conversion of the sensed factors of frequency and sound pressure level to perceived loudness and pitch. This method is achieved through the modeling of the auditory system using artificial neural networks and will be shown to have certain advantages over previous methods.
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