Noise reduction by paired-microphones using spectral subtraction
Noise reduction by paired-microphones using spectral subtraction
复制标题
使用频谱减法通过配对麦克风降噪
DOI：
10.1109/icassp.1998.675436
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
M. Akagi
中科院分区：
文献类型：
--
作者：
M. Mizumachi;M. Akagi
本文提出了一种利用成对麦克风作为语音识别系统前端处理器的降噪方法。该方法使用减法麦克风阵列来估计噪声，并使用谱减法（SS）将噪声从含噪语音信号中减去。由于该方法可以逐帧地解析地估计噪声，因此很容易估计噪声而不依赖于这些声学特性。因此，该方法还可以减少非平稳噪声，例如当门刚刚关闭时的突然噪声，这是其他SS方法无法减少的。计算机仿真和真实的环境下的实验结果表明，该方法能有效地减小LPC对数谱包络的畸变。
This paper proposes a method of noise reduction by paired microphones as a front-end processor for speech recognition systems. This method estimates noise using a subtractive microphone array and subtracts them from the noisy speech signal using spectral subtraction (SS). Since this method can estimate noise analytically and frame by frame, it is easy to estimate noise not depending on these acoustic properties. Therefore, this method can also reduce non-stationary noise, for example sudden noise when a door has just closed, which cannot be reduced by other SS methods. The results of computer simulations and experiments in a real environment show that this method can reduce LPC log spectral envelope distortions.