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首页> 外文会议>IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications vol.2; 20050808-12; Beijing(CN) >A high performance speech enhancement algorithm based on double-channel adaptive noise cancelling
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A high performance speech enhancement algorithm based on double-channel adaptive noise cancelling

机译：基于双通道自适应降噪的高性能语音增强算法

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摘要

By employing the noise correlations between the main channel and the reference channel, a new adaptive filtering algorithm based on double-channel adaptive noise canceling (ANC) is proposed for speech enhancement. The proof of the new algorithm is also presented, and it is shown that its optimal weight vector is the solution of generalized Wiener equation. Its application is then discussed under additive white noise environment with low signal-to-noise ratio (SNR) ranging from 0-10 dB. Experimental results are as follows: Compared with NLMS algorithm, the proposed algorithm can improve the SNR and PESQ score by 14 dB and 1.13, respectively, when the input noise containing crosstalk is assumed in the reference channel. Without the assumption, the SNR and PESQ score improvement become 5dB and 0.83, respectively.
机译：通过利用主信道和参考信道之间的噪声相关性，提出了一种基于双信道自适应噪声消除（ANC）的自适应滤波算法，用于语音增强。给出了新算法的证明，证明了该算法的最佳权向量是广义维纳方程的解。然后讨论在加性白噪声环境下具有0-10 dB的低信噪比（SNR）的应用。实验结果如下：与NLMS算法相比，当在参考信道中假设包含串扰的输入噪声时，该算法可以将SNR和PESQ分数分别提高14 dB和1.13。如果不进行假设，则SNR和PESQ得分提高分别为5dB和0.83。

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