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Models/AT-AT

AT-AT

Reported on 6 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.

Speech4 results

DialogueonSnips-SmartLights
Accuracy (%)· 2020-12-15
84.9
best: 89 (Finstreder (Conformer, character-based))
SOTA
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549
Spoken Language UnderstandingonSnips-SmartLights
Accuracy (%)· 2020-12-15
84.9
best: 89 (Finstreder (Conformer, character-based))
SOTA
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549
DialogueonFluent Speech Commands
Accuracy (%)· uses extra data· 2020-12-15
99.5
best: 99.8 (Finstreder (Conformer + AMT, character-based))
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549
Spoken Language UnderstandingonFluent Speech Commands
Accuracy (%)· uses extra data· 2020-12-15
99.5
best: 99.8 (Finstreder (Conformer + AMT, character-based))
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549

Natural Language Processing2 results

Dialogue UnderstandingonSnips-SmartLights
Accuracy (%)· 2020-12-15
84.9
best: 89 (Finstreder (Conformer, character-based))
SOTA
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549
Dialogue UnderstandingonFluent Speech Commands
Accuracy (%)· uses extra data· 2020-12-15
99.5
best: 99.8 (Finstreder (Conformer + AMT, character-based))
Exploring Transfer Learning For End-to-End Spoken Language Understanding arXiv:2012.08549