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Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection
We propose discriminative neighborhood smoothing of generative anomaly scores for anomalous sound detection.
Analysis of Noisy-target Training for DNN-based speech enhancement
To relax this limitation, Noisy-target Training (NyTT) that utilizes noisy speech as a training target has been proposed.
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech
This requirement currently restricts the amount of training data for speech enhancement to less than 1/1000 of that of speech recognition which does not need clean signals.
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