Multichannel parametric speech enhancement

doi:10.1109/LSP.2005.863819

2006-05-01

DOI：10.1109/LSP.2005.863819

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摘要

En 中文

We present a parametric model-based multichannel approach for speech enhancement. By employing an autoregressive model for the speech signal and using a trained codebook of speech linear predictive coefficients, minimum mean square error estimation of the speech signal is performed. By explicitly accounting for steering errors in the signal model, robust estimates are obtained. Experiments show that the proposed method results in significant performance gains.

Keyword:

acoustic noise

acoustic signal processing

array signal processing

autoregressive processes

speech enhancement

speech processing

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IEEE Signal Processing Magazine

IF:

9.6

论文数:

1.1W

被引数:

1.7W

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