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We present a new method for automatically filling in gaps of textural sounds. Our approach is to transform the signal to the time-frequency space, fill in the gap, and apply the inverse transform to reconstruct the result. The complex spectrogram of the signal is partitioned into separate overlapping frequency bands. Each band is fragmented by segmentation of the time-frequency space and a partition of the spectrogram in time, and filled in with complex fragments by example. We demonstrate ourdoi:10.1109/icpr.2004.1334397 dblp:conf/icpr/DroriFY04 fatcat:vwobturrgfd7vmnt7gco5ydcjm