Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
IEEE Trans Biomed Eng. 2012 Jun;59(6):1691-700. doi: 10.1109/TBME.2012.2191968. Epub 2012 Apr 3.
The performance of cochlear implants deteriorates in noisy environments compared to quiet conditions. This paper presents an adaptive cochlear implant system, which is capable of classifying the background noise environment in real time for the purpose of adjusting or tuning its noise suppression algorithm to that environment. The tuning is done automatically with no user intervention. Five objective quality measures are used to show the superiority of this adaptive system compared to a conventional fixed noise-suppression system. Steps taken to achieve the real-time implementation of the entire system, incorporating both the cochlear implant speech processing and the background noise suppression, on a portable PDA research platform are presented along with the timing results.
与安静环境相比，人工耳蜗在嘈杂环境中的性能会下降。本文提出了一种自适应人工耳蜗系统，该系统能够实时对背景噪声环境进行分类，以便针对该环境调整或优化其噪声抑制算法。这种调整是自动完成的，无需用户干预。本文使用了五种客观质量度量标准来表明与传统的固定噪声抑制系统相比，该自适应系统具有优越性。本文还介绍了在便携式 PDA 研究平台上实现整个系统（包括人工耳蜗语音处理和背景噪声抑制）实时运行所采取的步骤，以及相关的定时结果。
