SEPARATION OF PANNED SOURCES FROM GENERALIZED STEREO BACKGROUNDS USING MINIMAL TRAINING

摘要

In an embodiment, a spatio-level filter (SLF) is created by obtaining a first set of samples from a plurality of target source level and spatial distributions in frequency subbands in a frequency domain, obtaining a second set of samples from a plurality of background level and spatial distributions in frequency subbands in a frequency domain, adding the first and second sets of samples to create a combined set of samples, detecting level and spatial parameters for each sample in the combined set of samples for each subband, within subbands, weighting the detected level and spatial parameters by their respective level and spatial distributions for the target source and backgrounds; storing the weighted level, spatial parameters and signal-to-noise ratio (SNR) within subbands for each sample in the combined set of samples in a table; and re-indexing the table by the weighted level and spatial parameters and subband.