42 citations · 62 across the 6 of their papers we have counts for
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eess.AS2018★ 42 cited
Unsupervised adversarial domain adaptation for acoustic scene classification
Shayan Gharib, Konstantinos Drossos, Emre Çakir +2
A general problem in acoustic scene classification task is the mismatched conditions between training and testing data, which significantly reduces the performance of the developed…
eess.AS2018
Acoustic Scene Classification: A Competition Review
Shayan Gharib, Honain Derrar, Daisuke Niizumi +5
In this paper we study the problem of acoustic scene classification, i.e., categorization of audio sequences into mutually exclusive classes based on their spectral content. We des…