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Models/Pretrained Hierarchical Transformer

Pretrained Hierarchical Transformer

Reported on 12 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Audio8 results

  • Emotion RecognitiononSEMAINE
    MAE (Arousal)· 2020-09-23
    0.16
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononSEMAINE
    MAE (Expectancy)· 2020-09-23
    0.16
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononDailyDialog
    Micro-F1· 2020-09-23
    60.14
    best: 64.07 (S+PAGE)
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononIEMOCAP
    Accuracy· 2020-09-23
    66.05
    best: 73.95 (SDT)
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononIEMOCAP
    Weighted-F1· 2020-09-23
    65.37
    best: 74.08 (SDT)
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononSEMAINE
    MAE (Power)· 2020-09-23
    7.7
    best: 7.68 (DialogueGCN)
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononSEMAINE
    MAE (Valence)· 2020-09-23
    0.16
    best: 0.157 (DialogueGCN)
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • Emotion RecognitiononMELD
    Weighted-F1· 2020-09-23
    61.9
    best: 69.9 (ELR-GNN)
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152

Speech2 results

  • DialogueonICSI Meeting Recorder Dialog Act (MRDA) corpus
    Accuracy· 2020-09-23
    92.4
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152
  • DialogueonSwitchboard corpus
    Accuracy· 2020-09-23
    79.2
    best: 85 (HGRU + Beam Search + Guided attention)
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152

Natural Language Processing1 result

  • Text ClassificationonSILICONE Benchmark
    1:1 Accuracy· 2020-09-23
    71.25
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152

Methodology1 result

  • ClassificationonSILICONE Benchmark
    1:1 Accuracy· 2020-09-23
    71.25
    SOTA
    Hierarchical Pre-training for Sequence Labelling in Spoken DialogarXiv:2009.11152