Modeling the cocktail party effect using reservoir computing and non-invasive techniques and its potential applications in brain-computer interfaces and assistive technologies

使用储层计算和非侵入性技术模拟鸡尾酒会效应及其在脑机接口和辅助技术中的潜在应用

• 批准号: 557934-2021
• 负责人: Tanaka, MaiM
• 金额: $ 1.53万
• 依托单位: University of Tokyo
• 依托单位国家: 加拿大
• 项目类别: Postgraduate Scholarships - Doctoral
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=743224
• 关键词: Modeling; cocktail; party; effect; using

Signal processing, Reservoir computing, Auditory Attention Detection, Brain-computer interfacing, Speech perception, Speech in noise, Electroencephalogram, Auditory processing, Assistive technologies, Cocktail party phenomenon

信号处理，水库计算，听觉注意检测，脑机接口，语音感知，噪声中的语音，脑电图，听觉处理，辅助技术，鸡尾酒会现象