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NECTAR: Automatic Negative Clue Estimation via Centroid-Space Mapping for Target Speaker Extraction
Target speaker extraction (TSE) aims to extract a desired speaker from a mixture using auxiliary clues such as enrollment speech. An interferer-related representation can provide a useful negative clue for TSE, but such information is not directly available from the target enrollment. To derive this
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