2D ConvNet with Attention and GRU(MixUp=YES)

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Speech4 results

DialogueonVoxForge European
Accuracy (%)· 2019-10-09
93.7
best: 96.3 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269
DialogueonVoxForge Commonwealth
Accuracy (%)· 2019-10-09
95
best: 95.4 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269
Spoken Language UnderstandingonVoxForge European
Accuracy (%)· 2019-10-09
93.7
best: 96.3 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269
Spoken Language UnderstandingonVoxForge Commonwealth
Accuracy (%)· 2019-10-09
95
best: 95.4 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269

Natural Language Processing2 results

Dialogue UnderstandingonVoxForge European
Accuracy (%)· 2019-10-09
93.7
best: 96.3 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269
Dialogue UnderstandingonVoxForge Commonwealth
Accuracy (%)· 2019-10-09
95
best: 95.4 (2D ConvNet(MixUp=YES))
Spoken Language Identification using ConvNets arXiv:1910.04269