Computational Auditory Scene Analysis algorithms for improving speech commu-nication in complex acoustic environments (B02)

该项目的长期目标是在复杂声学条件下分析和处理语音的理论基础和实现方面取得突破，从根本上改善听力困难人群在这些条件下的语音交流。主要研究问题是确定最有前途的启发式和技术处理原则，以确定利用机器学习技术的可能性，以最佳方式整合不同的处理原则，并实现最佳支持特定应用的演示器，如助听器，人工耳蜗植入物和辅助听力设备。

The long-term goal of this project is to achieve a breakthrough in the theoretical foundation and realization of auditory-inspired algorithms for analysing and processing speech in complex acoustic conditions, in order to fundamentally improve speech communication in these conditions for people with hearing difficul-ties. Main research questions are to determine the most promising auditory-inspired and technical pro-cessing principles, to identify the possibilities of exploiting machine learning techniques, to optimally inte-grate the different processing principles and to realize demonstrators that optimally support specific appli-cations such as hearing aids, cochlear implants and assistive listening devices.