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On Blocking Matrix-Based Dereverberation for Automatic Speech Recognition

机译:基于分块矩阵的去混响技术用于自动语音识别

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We investigate a two-channel reverberation suppression scheme comprising a blocking matrix for estimating late reverberation components by canceling the direct path and early reflections, and spectral enhancement filters for suppressing the late reverberation components. For idealized blocking matrices, we analyze the influence of the length of the blocking matrix filters and the impact of the coherence between the microphones on the resulting estimate. We show that blocking matrices that cancel more than the direct path of the desired signal can be of advantage for robust speech recognition in highly reverberant environments. Index Terms ?? Dereverberation, reverberation suppression, signal enhancement, distant-talking speech recognition
机译:我们研究了一种两通道混响抑制方案,该方案包括一个通过消除直接路径和早期反射来估计后期混响分量的块矩阵,以及一个用于抑制后期混响分量的频谱增强滤波器。对于理想的阻塞矩阵,我们分析了阻塞矩阵滤波器的长度的影响以及传声器之间的相干性对所得估计的影响。我们表明,消除矩阵比所需信号的直接路径更多的阻塞矩阵对于在高混响环境中的鲁棒语音识别可能是有利的。索引词去混响,混响抑制,信号增强,远距离语音识别

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