Reverberation Phenomena in Speech Signal Enhancement

Under normal circumstances, speech signal enhancement often introduces reverberation effects. To eliminate background reverberation, speakers frequently need to constantly change their head orientation, leading to continuous variations in impulse responses. To improve the filtering performance of inverse filters, we integrate blind deconvolution with spectral subtraction methods. Through computation of correlation coefficient matrices between input speech signals, we obtain stable and precise inverse filters for room impulse responses without requiring actual measurement of room impulse responses. The inverse filtering process eliminates early reflections that contain the majority of reverberation energy. Subsequently, we employ spectral subtraction to suppress the tail reverberation remaining in the inverse-filtered signal. Experimental validation confirms the practical adaptability of this approach, demonstrating that the combination of blind deconvolution and spectral subtraction provides superior speech environments compared to using either method individually.