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：助听器技术在听力康复领域已取得显著成效，但在嘈杂和混响等复杂日常环境中，其性能仍受局限。目标：介绍助听器技术的现状，并阐述当前研究进展及未来发展方向。方法：通过分析现有文献，系统介绍若干具体的新进展。结果：实证研究的客观与主观数据均表明，现有技术存在局限性。当前研究实例揭示了基于机器学习的算法与多模态信号处理在提升语音处理与感知能力方面的潜力，虚拟现实技术在改善助听器验配效果中的应用前景，以及移动健康技术在优化听力健康服务中的价值。结论：助听器技术仍将是听力障碍康复的关键手段。机器学习、多模态信号处理、虚拟现实及移动健康技术等新兴技术，将推动语音增强、个性化验配及沟通训练水平的持续提升。