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Found 2 papers, 1 papers with code
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
NASTAR uses a feedback mechanism to simulate adaptive training data via a noise extractor and a retrieval model.
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
The results verify that the SERIL model can effectively adjust itself to new noise environments while overcoming the catastrophic forgetting issue.
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