A shallow RawNet-style network with neural architecture search classifies ENF-containing recordings into nine power grids plus None, reaching 92 percent on SP Cup 2016 but trailing the authors' own prior 96 percent fusion method.
On spectrogram analysis in a multiple classifier fusion framework for power grid clas- sification using electric network frequency,
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InterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks
A shallow RawNet-style network with neural architecture search classifies ENF-containing recordings into nine power grids plus None, reaching 92 percent on SP Cup 2016 but trailing the authors' own prior 96 percent fusion method.