Biologically Inspired Binaural Coupling for Selective Machine Hearing

这个项目的目的是在深度学习范式的背景下，通过将理想的高级听觉结构作为神经网络子系统来研究生物启发的双耳耦合模型。该项目希望为开发下一代健壮的语音处理系统提供新的知识，这些系统能够在面对现实的嘈杂语音信号和使用创新的双耳反馈系统来模拟人类的选择倾听能力时，使用创新的双耳反馈系统。这项工作应该会带来显著的好处，包括改进的语音生物识别和机器的选择性听觉注意能力。

This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic noisy speech signals and the ‘cocktail party problem’ using innovative binaural feedback systems. This work should provide significant benefits, including improved voice biometrics and selective auditory attention capabilities in machines.