Improving Sound Event Classification by Increasing Shift Invariance in
Convolutional Neural Networks

v1v2 (latest)

Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks

1 July 2021

Eduardo Fonseca

Andrés Ferraro

Xavier Serra

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Papers citing "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks"

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Title
Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset Panagiota Anastasopoulou Jessica Torrey Xavier Serra F. Font 33 1 0 01 Oct 2024
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi Noboru Harada K. Kashino SSL 100 59 0 15 Apr 2022
CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio Classification Yuan Gong Sameer Khurana Andrew Rouditchenko James R. Glass VLM 70 29 0 13 Mar 2022
HEAR: Holistic Evaluation of Audio Representations Joseph P. Turian Jordie Shier H. Khan Bhiksha Raj Björn W. Schuller ... P. Esling Pranay Manocha Shinji Watanabe Zeyu Jin Yonatan Bisk 132 108 0 06 Mar 2022
Learning strides in convolutional neural networks Rachid Riad O. Teboul David Grangier Neil Zeghidour 77 42 0 03 Feb 2022
FSD50K: An Open Dataset of Human-Labeled Sound Events Eduardo Fonseca Xavier Favory Jordi Pons F. Font Xavier Serra 118 467 0 01 Oct 2020