School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China.
Sensors (Basel). 2021 Mar 8;21(5):1878. doi: 10.3390/s21051878.
The use of multiple spatially distributed microphones allows performing spatial filtering along with conventional temporal filtering, which can better reject the interference signals, leading to an overall improvement of the speech quality. In this paper, we propose a novel dual-microphone generalized sidelobe canceller (GSC) algorithm assisted by a bone-conduction (BC) sensor for speech enhancement, which is named BC-assisted GSC (BCA-GSC) algorithm. The BC sensor is relatively insensitive to the ambient noise compared to the conventional air-conduction (AC) microphone. Hence, BC speech can be analyzed to generate very accurate voice activity detection (VAD), even in a high noise environment. The proposed algorithm incorporates the VAD information obtained by the BC speech into the adaptive blocking matrix (ABM) and adaptive noise canceller (ANC) in GSC. By using VAD to control ABM and combining VAD with signal-to-interference ratio (SIR) to control ANC, the proposed method could suppress interferences and improve the overall performance of GSC significantly. It is verified by experiments that the proposed GSC system not only improves speech quality remarkably but also boosts speech intelligibility.
使用多个空间分布式麦克风可以进行空间滤波以及传统的时间滤波，这可以更好地抑制干扰信号，从而整体提高语音质量。在本文中，我们提出了一种新的基于双麦克风的广义旁瓣抵消器（GSC）算法，该算法辅助以骨传导（BC）传感器进行语音增强，称为辅助骨传导的广义旁瓣抵消器（BCA-GSC）算法。与传统的空气传导（AC）麦克风相比，BC 传感器对环境噪声相对不敏感。因此，即使在高噪声环境中，也可以分析 BC 语音以生成非常准确的语音活动检测（VAD）。所提出的算法将通过 BC 语音获得的 VAD 信息合并到 GSC 中的自适应阻塞矩阵（ABM）和自适应噪声消除器（ANC）中。通过使用 VAD 来控制 ABM，并将 VAD 与信干比（SIR）结合起来控制 ANC，该方法可以显著抑制干扰并提高 GSC 的整体性能。实验验证了所提出的 GSC 系统不仅显著提高了语音质量，而且提高了语音可懂度。
