Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia 22902.
Department of Computer Science, University of Texas at Austin, Austin, Texas 78712.
J Acoust Soc Am. 2014 Mar;135(3):1019-22. doi: 10.1121/1.4864482.
Noise cancellation in an MRI environment is difficult due to the high noise levels that are in the spectral range of human speech. This paper describes a two-step method to cancel MRI noise that combines operations in both the time domain (correlation subtraction) and the frequency domain (spectral noise gating). The resulting filtered recording has a noise power suppression of over 100 dB, a significant improvement over previously described techniques on MRI noise cancellation. The distortion is lower and the noise suppression higher than using spectral noise gating in isolation. Implementation of this method will aid in detailed studies of speech in relation to vocal tract and velopharyngeal function.
由于 MRI 环境中的噪声水平很高,处于人类语音的频谱范围内,因此在 MRI 环境中进行噪声消除是困难的。本文描述了一种两步法来消除 MRI 噪声,该方法结合了时域(相关减法)和频域(频谱噪声门)操作。与以前描述的 MRI 噪声消除技术相比,所得滤波记录的噪声功率抑制超过 100dB,有了显著改善。与单独使用频谱噪声门相比,失真更低,噪声抑制更高。该方法的实现将有助于详细研究与声道和软腭功能相关的语音。