Elderly speech perception in noise

该项目采用创新的方法来了解老年人在噪音中识别语音的问题。该项目使用详细的计算（瞥见）模型，听觉和视觉信息的测量以及新颖的启动方法，旨在精确确定在感知的早期阶段进行了什么处理。量化和系统地改变输入信息和测量感知处理是必不可少的，以查明语音感知问题出现的地方，并为评估补救和培训提供了基础。本研究的目的是为语音识别理论的发展做出贡献，并对语音评估有实际应用价值。

This project adopts an innovative approach to understand problems that elderly people have in recognising speech in noise. Using a detailed computational (glimpsing) model, measures of auditory and visual information and novel priming methods, the project aims to determine precisely what processing is carried out in the early stages of perception. Quantifying and systematically varying input information and measuring perceptual processing are essential for pinpointing where speech perception problems arise and provide a foundation for evaluating remediation and training. This research aims to contribute to theories of speech recognition and has practical application for speech assessment.