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Models/preCPC

preCPC

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Audio3 results

  • Emotion RecognitiononMSP-Podcast (Valence)
    CCC· uses extra data· 2021-02-12
    0.377
    best: 0.676 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357
  • Emotion RecognitiononMSP-Podcast (Dominance)
    CCC· uses extra data· 2021-02-12
    0.639
    best: 0.6840044 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357
  • Emotion RecognitiononMSP-Podcast (Activation)
    CCC· uses extra data· 2021-02-12
    0.706
    best: 0.7620181 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357

Speech3 results

  • Speech Emotion RecognitiononMSP-Podcast (Valence)
    CCC· uses extra data· 2021-02-12
    0.377
    best: 0.676 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357
  • Speech Emotion RecognitiononMSP-Podcast (Dominance)
    CCC· uses extra data· 2021-02-12
    0.639
    best: 0.6840044 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357
  • Speech Emotion RecognitiononMSP-Podcast (Activation)
    CCC· uses extra data· 2021-02-12
    0.706
    best: 0.7620181 (wav2small-Teacher)
    SOTA
    Contrastive Unsupervised Learning for Speech Emotion RecognitionarXiv:2102.06357