Reverberation Phenomena in Speech Signal Enhancement

Speech signals often exhibit reverberation effects during enhancement processes. To eliminate background reverberation, speakers frequently need to adjust their head orientation, causing continuous variations in impulse responses. We combine blind deconvolution and spectral subtraction methods to improve inverse filter performance. By calculating correlation coefficient matrices between input speech signals, we derive stable and accurate inverse filters of room impulse responses without requiring direct measurements. This inverse filtering eliminates early reflections containing most reverberation energy, followed by spectral subtraction suppressing residual tail reverberation. Experimental validation demonstrates the practical adaptability of this combined approach compared to individual methods.