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A dual-microphone noise reduction algorithm for mobile communications

机译:一种用于移动通信的双话筒降噪算法

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摘要

A dual-microphone noise reduction method based on the coherence function for mobile communications is suggested in this paper. The proposed algorithm exploits the Kalman filter and the spectral subtraction method in order to improve the speech quality in different noisy environments. The adopted method is easy to implement and needs no estimation of interfering signals statistics. The proposed algorithm is tested with different distances between the two microphones using recorded data and objective criteria such as: PESQ and SNR. The good performance of the suggested algorithm and its low complexity, making it a promised solution for dual-channel mobile phones.
机译:本文提出了一种基于移动通信相干功能的双麦克风降噪方法。所提出的算法利用卡尔曼滤波器和频谱减法方法,以提高不同嘈杂环境中的语音质量。采用的方法易于实施,不需要估计干扰信号统计。使用记录的数据和客观标准在两个麦克风之间的不同距离测试了所提出的算法,例如:PESQ和SNR。建议算法的良好表现及其低复杂性,使其成为双通道移动电话的承诺解决方案。

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