Low-complexity acoustic scene classification using time frequency separable convolution

HIGHLIGHTS

  • who: Duc H. Phan and Douglas L. Jones from the Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA have published the research work: Low-Complexity Acoustic Scene Classification Using Time Frequency Separable Convolution, in the Journal: Electronics 2022, 11, 2734. of /2022/
  • what: The authors propose a method to decompose a traditional 2D convolution operation into a series of small convolution operators to design a low complexity neural_network for acoustic scene application. The main contributions of this paper are: first, time-frequency separable convolution is introduced to decompose 2D convolution . . .

     

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