Blind source separation in mobile environments using a priori knowledge
Blind source separation in mobile environments using a priori knowledge
复制标题
使用先验知识在移动环境中进行盲源分离
DOI：
10.1109/icassp.2004.1326689
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Te
中科院分区：
文献类型：
--
作者：
Erik M. Visser;Te
研究了移动的环境下基于最小统计量的盲源分离和背景去噪的语音增强方法。为了适应分离的输出信号对所记录的源信号的空间特性的依赖性，这些盲信号处理步骤由使用关于期望的说话者语音内容的先验知识的自适应分离的输出通道选择级来补充。所得到的方案的性能示出了由各种噪声源损坏的真实的录音的语音识别实验，并表现出优于传统的波束形成和单通道去噪技术，以及具有固定输出通道选择的等效方案。
A speech enhancement scheme including blind source separation and background denoising based on minimum statistics is studied in mobile environments. To accommodate the dependence of the separated output signals on the spatial properties of the recorded source signals, these blind signal processing steps are complemented by an adaptive separated output channel selection stage using prior knowledge about the desired speaker speech content. The resulting scheme performance is illustrated by speech recognition experiments on real recordings corrupted by various noise sources and shown to outperform conventional beamforming and single channel denoising techniques as well as an equivalent scheme with fixed output channel selection.