Background. Hearing aid technology has proven successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation. Objectives. Introduction to the current state of hearing aid technology and presentation of the current state of research and future development. Methods. Current literature is analyzed and several specific new developments are presented. Results. Both objective and subjective data from empirical studies show the limitation of current technology. Examples of current research show the potential of machine-learning based algorithms and multi-modal signal processing for improving speech processing and perception, of using virtual reality for improving hearing device fitting and of mobile health technology for improving hearing-health services. Conclusions. Hearing device technology will remain a key factor in the rehabilitation of hearing impairment. New technology such as machine learning, and multi-modal signal processing, virtual reality and mobile health technology will improve speech enhancement, individual fitting and communication training.
翻译：背景。听力设备技术已经在恢复听力损失方面取得了成功，但是在噪声和回声等复杂日常情况下，其性能仍然受限。目标。介绍目前听力设备技术的现状，介绍当前研究的现状和未来发展。方法。分析了当前的文献，并且介绍了几个具体的新发展。结果。来自实证研究的客观和主观数据都表明了当前技术的局限性。当前研究的几个例子显示了基于机器学习和多模式信号处理的算法，以及虚拟现实用于改善听力设备的贴合和移动健康技术用于改善听力卫生服务的潜力。结论。听力设备技术将继续在恢复听力障碍方面发挥关键作用。新技术，如机器学习、多模式信号处理、虚拟现实和移动健康技术将改善语音增强、个性化贴合和沟通训练。
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