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Unfolded REM networks can dynamically adapt their tracking strategy, outperforming traditional methods in challenging acoustic environments.
Unfolding the EM algorithm into a neural network yields a speaker localization method that's more robust and accurate than traditional Batch-EM, especially in challenging acoustic conditions.