The method adapts NMF dictionaries per utterance via total variability modeling to extract noise-robust acoustic features without parallel clean-noisy training data.
In the following sections, we provide a brief overview of NMF and total variability modeling, followed by our proposed noise- robust acoustic feature algorithm
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Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features
The method adapts NMF dictionaries per utterance via total variability modeling to extract noise-robust acoustic features without parallel clean-noisy training data.