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Previously, a dereverberation method based on generalized spectral subtraction (GSS) using multi-channel least mean-squares (MCLMS) has been proposed.
Previously, Wang et al. presented a distant-talking speech recognition method based on generalized spectral subtraction (GSS) employing the multi-channel least mean-squares (MCLMS) algorithm [22].
Wang et al. proposed a distant-talking speech recognition method based on generalized spectral subtraction (SS) [30] employing the multichannel least mean squares (MCLMS) algorithm [13,31,32].
In the article "Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array"[8], Longbiao Wang et al. propose a blind dereverberation method based on generalized spectral subtraction (GSS) in a multi-sensor system.
In this paper, we propose a blind dereverberation method based on generalized spectral subtraction (GSS), which has been shown to be effective for noise reduction, instead of power SS.
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