Computational Models of Hearing

听力计算模型

• 批准号: RGPIN-2018-05778
• 负责人: Bruce, Ian
• 金额: $ 5.68万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=752048
• 关键词: Computational; Models; Hearing

The human auditory system is capable of accomplishing tasks such as speech understanding, sound source identification and sound source separation at a level of performance that remains unrivalled by man-made systems. The long-term goals of this research program are to develop and utilize computational models to: i) improve our understanding of how the ear and brain process acoustic and electrical stimulation to perform a range of hearing tasks, ii) better elucidate the neural mechanisms that are utilized within the mammalian auditory system, and iii) develop improved predictors of human speech perception and tools for the design of novel hearing aid and cochlear implant sound processing strategies.This research program will achieve significant improvements in auditory models that are being utilized extensively in the worldwide hearing research and speech & audio processing research communities. In addition, the results will provide new understanding of many of the processing approaches and biophysical mechanisms employed within the mammalian auditory system that enable it to achieve its unmatched level of performance on so many tasks. This in turn will inspire new directions in signal processing algorithms for speech & audio processing and lead to further advances in assistive devices for the hearing impaired.

人类听觉系统能够完成语音理解、声源识别和声源分离等任务，其性能水平仍然是人造系统无法比拟的。该研究计划的长期目标是开发和利用计算模型：i）提高我们对耳朵和大脑如何处理声刺激和电刺激以执行一系列听力任务的理解，ii）更好地阐明哺乳动物听觉系统内利用的神经机制，以及iii）开发改进的人类语言感知预测器和工具，用于设计新型助听器和人工耳蜗声音处理策略。这项研究计划将实现听觉的显著改善模型被广泛用于全球听力研究和语音与音频处理研究社区。此外，研究结果将提供新的理解许多哺乳动物听觉系统内采用的处理方法和生物物理机制，使其能够实现其无与伦比的性能水平上这么多的任务。这反过来将激发语音和音频处理信号处理算法的新方向，并导致听力受损辅助设备的进一步发展。