Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function
Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function
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DOI：
10.1109/tasl.2013.2250960
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
M. Togami;Y. Kawaguchi;Ryu Takeda;Y. Obuchi;N. Nukaga
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文献类型：
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作者：
M. Togami;Y. Kawaguchi;Ryu Takeda;Y. Obuchi;N. Nukaga
我们开发了一种去混响技术，该技术将多通道逆滤波 (MIF)、波束成形 (BF) 和非线性混响抑制 (NRS) 最佳地结合在一起。它对声学传递函数 (ATF) 波动具有鲁棒性，并且比单独的 NRS 产生的失真更少。使用包含两个概率模型的统一似然函数，从概率角度对这三个组件进行最佳组合。基于最近提出的局部高斯模型 (LGM) 的多通道概率源模型提供了针对早期反射的 ATF 波动的鲁棒性。概率混响传递函数模型 (PRTFM) 提供了针对后期混响的 ATF 波动的鲁棒性。 MIF 和多通道欠定源分离 (MUSS) 以迭代方式进行优化。 MIF的设计目的是参考PRTFM和LGM，通过使用最佳时间加权来减少后期混响的时不变部分。 MUSS将去混响后的语音信号和MIF后的残余混响分开，可以理解为BF和NRS的优化组合。 PRTFM和LGM的参数基于MUSS输出进行优化。实验结果表明，该方法在单源和多源条件下对 ATF 波动具有鲁棒性。
A dereverberation technique has been developed that optimally combines multichannel inverse filtering (MIF), beamforming (BF), and non-linear reverberation suppression (NRS). It is robust against acoustic transfer function (ATF) fluctuations and creates less distortion than the NRS alone. The three components are optimally combined from a probabilistic perspective using a unified likelihood function incorporating two probabilistic models. A multichannel probabilistic source model based on a recently proposed local Gaussian model (LGM) provides robustness against ATF fluctuations of the early reflection. A probabilistic reverberant transfer function model (PRTFM) provides robustness against ATF fluctuations of the late reverberation. The MIF and multichannel under-determined source separation (MUSS) are optimized in an iterative manner. The MIF is designed to reduce the time-invariant part of the late reverberation by using optimal time-weighting with reference to the PRTFM and the LGM. The MUSS separates the dereverberated speech signal and the residual reverberation after the MIF, which can be interpreted as an optimized combination of the BF and the NRS. The parameters of the PRTFM and the LGM are optimized based on the MUSS output. Experimental results show that the proposed method is robust against the ATF fluctuations under both single and multiple source conditions.