NOISE PADDING AND NORMALIZATION IN DYNAMIC TIME WARPING

摘要

Speech recognition uses a wide token builder (66), gain and noise adapter (70) and noise adapted Dynamic Time Warping (60). Wide token builder produces a padded test token expanded with at least one blank frame before and after the input test utterance. Gain and noise adapter adapts each padded reference template with noise and gain qualities producing adapted reference templates having noise frames wherever a blank frame was originally placed and noise adapted speech where speech exists. Dynamic Time Warping (DTW) is performed on the noise adapted templates.