1DCNN

Reported on 3 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio2 results

Audio ClassificationonUrbanSound8K
Accuracy· uses extra data· 2019-04-18
89
best: 90.07 (AudioCLIP)
SOTA
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network arXiv:1904.08990
Environmental Sound ClassificationonUrbanSound8K
Accuracy· uses extra data· 2019-04-18
89
best: 90.07 (AudioCLIP)
SOTA
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network arXiv:1904.08990

Methodology1 result

ClassificationonUrbanSound8K
Accuracy· uses extra data· 2019-04-18
89
best: 90.07 (AudioCLIP)
SOTA
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network arXiv:1904.08990