双伪仿射投影算法用于语音增强和降噪

M. Djendi, P. Scalart
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引用次数: 19

摘要

在本文中,我们考虑了一种包含两个紧密间隔麦克风的盲源分离方案在移动汽车中的语音增强问题。我们提出了一种新的双伪仿射投影DPAP算法来估计和抑制语音中的相干噪声成分。将所提出的DPAP算法应用于前向盲源分离FBSS结构中,并结合其两个输入的一种新的白化方案。为了避免在新的DPAP算法中使用手动语音活动检测器,我们将[1]中提出的技术应用于FBSS结构和新提出的算法。仿真结果表明,在该技术的控制下,DPAP算法能够完全消除语音中的相关噪声成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Double pseudo affine projection algorithm for speech enhancement and acoustic noise reduction
In this paper, we consider the speech enhancement problem in a moving car through a blind source separation scheme involving two closely spaced microphones. We propose the use of a new double pseudo affine projection DPAP algorithm to estimate and suppress coherent noise components from speech. The proposed DPAP algorithm is applied to the forward blind source separation FBSS structure and combined with a new whitening scheme of its two inputs. In order to avoid the use of a manual voice activity detector in the new DPAP algorithm, we have adapted then applied the technique proposed in [1] to the FBSS structure and for the new proposed algorithm. The simulation results show that the DPAP algorithm, when controlled by the proposed technique is able to fully cancel the correlated noise components from speech.
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