Gopalakrishna Vanishree, Kehtarnavaz Nasser, Loizou Philipos C, Panahi Issa
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:863-6. doi: 10.1109/IEMBS.2010.5628049.
Cochlear implant patients often complain about their difficulty in understanding speech in noisy environments. Currently a fixed noise suppression algorithm is used in cochlear implants regardless of the characteristics of the speech or noise environment. Access to an intelligent mechanism to determine the noise environment on-the-fly in order to automatically switch between different noise suppression algorithms in real-time can enhance patients experience with cochlear implants. In this paper, we report the first prototype system implementing such a real-time switching mechanism for automatic selection between two noise suppression algorithms designed for two commonly encountered noisy environments. The results obtained indicate the feasibility of this on-the-fly switching for actual deployment in cochlear implants.
人工耳蜗植入患者常常抱怨他们在嘈杂环境中理解言语存在困难。目前，人工耳蜗采用的是固定的噪声抑制算法，而不考虑言语或噪声环境的特征。若能有一种智能机制实时确定噪声环境，以便在不同噪声抑制算法之间自动实时切换，将可以提升人工耳蜗植入患者的体验。在本文中，我们报告了首个实现这种实时切换机制的原型系统，该机制可在针对两种常见嘈杂环境设计的两种噪声抑制算法之间自动选择。所获得的结果表明了这种实时切换在人工耳蜗实际应用中的可行性。
