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.
Leveraging electric network frequency estimation for audio authentication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
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.