ERANNs: Efficient residual audio neural networks for audio pattern recognition

Journal

Pattern Recognition Letters
ISSN: 0167-8655

Output data

Year: 2022, Volume: 161, Pages: 38-44 Pages count : 7 DOI: 10.1016/j.patrec.2022.07.012

Tags

Audio pattern recognition; Audio tagging; Residual convolutional neural networks; Sound classification; Transfer learning

Authors

Verbitskiy Sergey ^1,2 , Berikov Vladimir ^2,3 , Vyshegorodtsev Viacheslav ¹

Affiliations

1	Deepsound
2	Novosibirsk State University, Novosibirsk, Russian Federation
3	Data Analysis Laboratory, Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russian Federation

Russian Foundation for Basic Research

19-29-01175

Verbitskiy S. , Berikov V. , Vyshegorodtsev V.
ERANNs: Efficient residual audio neural networks for audio pattern recognition
Pattern Recognition Letters. 2022. V.161. P.38-44. DOI: 10.1016/j.patrec.2022.07.012 WOS Scopus РИНЦ OpenAlex