Biomimicry is a powerful science that aims to take advantage of nature's remarkable ability to devise innovative solutions to challenging problems. In the setting of hearing, mimicking how humans hear is the foremost strategy in designing effective artificial hearing approaches. In this work, we explore the mathematical foundations for the exchange of design inspiration and features between biological hearing systems, artificial sound-filtering devices, and signal processing algorithms. Our starting point is a concise asymptotic analysis of subwavelength acoustic metamaterials. We are able to fine tune this structure to mimic the biomechanical properties of the cochlea, at the same scale. We then turn our attention to developing a biomimetic signal processing algorithm. We use the response of the cochlea-like structure as an initial filtering layer and then add additional biomimetic processing stages, designed to mimic the human auditory system's ability to recognise the global properties of natural sounds.
翻译:生物模拟是一种强大的科学,目的是利用大自然的非凡能力来设计具有挑战性的问题的创新解决办法。 在听力环境中,模仿人类的听力是设计有效的人工听力方法的首要战略。 在这项工作中,我们探索生物听觉系统、人工声波过滤装置和信号处理算法之间交换设计灵感和特征的数学基础。我们的出发点是对亚波长声波元材料进行简单无波分析。我们能够微调这一结构,以同样的尺度模拟科赫莱亚的生物机械特性。然后我们把注意力转向开发生物模拟信号处理算法。我们把类似科赫利亚结构的反应作为初始过滤层,然后增加生物模拟处理阶段,旨在模拟人类听力系统识别自然声音全球特性的能力。