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Lattice-ladder structured adaptive decorrelation filtering for co-channel speech separation

机译:格梯结构自适应去相关滤波用于同信道语音分离

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A lattice-ladder adaptive decorrelation filtering (ADF) algorithm is proposed with the aim of developing a more efficient co-channel speech separation system. It is shown that based on the joint forward and backward linear predictions, a lattice-ladder structure can be derived for ADF. Experimental results show that the proposed algorithm is effective in reducing cross-interference between co-channel speech sources and has better tracking ability on the variations in the acoustic environment compared to the original direct-form ADF algorithm.
机译:提出了一种格梯自适应去相关滤波(ADF)算法,目的是开发一种更有效的同信道语音分离系统。结果表明,基于联合的前向和后向线性预测,可以推导ADF的晶格结构。实验结果表明,与原始的直接形式ADF算法相比,该算法在减少同信道语音源之间的交叉干扰方面是有效的,并且对声学环境的变化具有更好的跟踪能力。

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