A Cross-Task Transfer Learning Approach To Adapting Deep Speech Enhancement Models To Unseen Background Noise Using Paired Senone Classifiers

We propose an environment adaptation approach that improves deep speech enhancement models via minimizing the Kullback- Leibler divergence between posterior probabilities produced by a multi-condition senone classifier (teacher) fed with noisy speech feat
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