Compensation Approaches for Far-field Speaker Identification
Qin Jin, Kshitiz Kumar, Tanja Schultz, Richard M. Stern · 2008
While speaker identification performance has improved dramatically over the past years, the presence of interfering noise and the variety of channel conditions pose a major obstacle. Particularly the mismatch between training and test condition leads to severe performance degradations. In this paper we explored several approaches to compensation for the effects of reverberation including compensation using linear post-filtering and frame-base score competition. 1.