Joint Acoustic Echo and Noise Cancellation Using Spectral Domain Kalman Filtering in Double-Talk Scenario
Joint Acoustic Echo and Noise Cancellation Using Spectral Domain Kalman Filtering in Double-Talk Scenario
复制标题
在双讲场景中使用谱域卡尔曼滤波联合声学回声和噪声消除
DOI：
10.1109/iwaenc.2018.8521282
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
K. Nathwani
中科院分区：
文献类型：
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作者：
K. Nathwani
本文提出了一种单通道谱域卡尔曼滤波的声回波噪声抵消方法。本文采用了一种增广扩展卡尔曼滤波器，它适用于处理一般复值非线性非平稳信号。对近端语音和背景噪声进行建模，使滤波器对双端通话和噪声具有鲁棒性。在这项工作中，回声消除的方法不依赖于双端通话检测器（DTD）来模拟回声路径，当信号以外的回声远端信号存在。性能评估是在NOIZEUS语料库上进行的。实验结果表明，理想卡尔曼滤波器（近端语音参数）优于其他增强回声消除方法的主观和客观的措施。非理想卡尔曼滤波器（当通过EM算法获得近端语音参数时）在理想卡尔曼滤波器之后也显示出有希望的结果。
In this paper, a single channel Kalman filtering in the spectral domain is proposed for acoustic echo and noise cancellation (AENC). An augmented extended Kalman filter is used in this work which is suitable for processing general complex-valued nonlinear and nonstationary signals. The near-end speech and background noise are modelled to make the filter robust against double-talk and against noise. In this work, the approach for echo cancellation does not depend on double-talk detector (DTD) to model the echo path, when signals other than the echoed far-end signal are present. The performance evaluations are conducted over the NOIZEUS corpus. The experimental results demonstrate that the ideal Kalman filter (with near-end speech parameters) outperforms other enhancement methods of echo cancellation in terms of subjective and objective measures. The non-ideal Kalman filter (when near-end speech parameters are obtained by an EM algorithm) also shows promising results after the ideal Kalman filter.