Mirzahasanloo Taher, Gopalakrishna Vanishree, Kehtarnavaz Nasser, Loizou Philipos
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2271-4. doi: 10.1109/EMBC.2012.6346415.
This paper presents the real-time implementation of an environment-adaptive noise suppression algorithm on an FDA-approved PDA platform for cochlear implant studies. This added capability involves identifying the background noise environment in real-time and adapting a data-driven noise suppression approach to that noise environment on-the-fly. Various software optimization steps are taken in order to achieve a real-time throughput on the PDA platform involving both the speech decomposition and the adaptive noise suppression components. Real-time timing results and a quantitative measure of noise suppression are presented.
本文介绍了一种环境自适应噪声抑制算法在经美国食品药品监督管理局（FDA）批准的用于人工耳蜗研究的个人数字助理（PDA）平台上的实时实现。这一新增功能包括实时识别背景噪声环境，并即时针对该噪声环境采用数据驱动的噪声抑制方法。为了在涉及语音分解和自适应噪声抑制组件的PDA平台上实现实时吞吐量，采取了各种软件优化步骤。文中给出了实时定时结果以及噪声抑制的定量测量结果。
