25 citations · 33 across the 5 of their papers we have counts for
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cs.LG2018★ 2 cited
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition
Che-Wei Huang, Shrikanth S. Narayanan
Regularization is crucial to the success of many practical deep learning models, in particular in a more often than not scenario where there are only a few to a moderate number of…
cs.SD2018★ 1 cited
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing
Che-Wei Huang, Shrikanth Narayanan
In this work, we investigate a recently proposed regularization technique based on multi-branch architectures, called Shake-Shake regularization, for the task of speech emotion rec…