Noise Model Transfer: Novel Approach to Robustness Against Nonstationary Noise

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Deep Learning: Methods and Applications (2014, background): “See a comprehensive review in [220] and some additional review literature or original work in [4, 82, 119, 140, 230, 370, 404, 431, 444].”
An Overview of Noise-Robust Automatic Speech Recognition (2014, background): “…speci ﬁ c techniques pertaining to the above topics not covered in this article can be found in [39] for multi-sensory speech detection, in [40], [41] for nonstationary noise estimation and ASR robustness against nonstationary noise, in [42] for a new multichannel framework for speech source…”