Biologically Inspired Binaural Coupling for Selective Machine Hearing

该项目旨在通过将理想的高级听觉结构制定为神经网络子系统，在深度学习范式的背景下研究生物启发的双耳耦合模型。该项目预计将产生新的知识，用于开发下一代的强大的语音处理系统，能够模仿人类的选择听的能力时，面对现实的嘈杂的语音信号和“鸡尾酒会的问题”，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，包括改善机器的语音生物识别和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.