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Models/MT3

MT3

Reported on 4 benchmarks across 1 task · 2 papers · 1 SOTA

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

Music6 results

  • Music TranscriptiononSlakh2100
    note-level F-measure-no-offset (Fno)· 2021-11-04
    0.57
    best: 0.8456 (YourMT3+ (YPTF.MoE+M))
    SOTA
    MT3: Multi-Task Multitrack Music TranscriptionarXiv:2111.03017
  • Music TranscriptiononURMP
    Onset F1· uses extra data· 2024-07-05
    77
    best: 81.79 (YourMT3+ (YPTF.MoE+M))
    YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationarXiv:2407.04822
  • Music TranscriptiononURMP
    Onset F1· 2024-07-05
    77
    best: 81.79 (YourMT3+ (YPTF.MoE+M))
    YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationarXiv:2407.04822
  • Music TranscriptiononURMP
    Multi F1· uses extra data· 2024-07-05
    59
    best: 67.98 (YourMT3+ (YPTF.MoE+M))
    YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationarXiv:2407.04822
  • Music TranscriptiononURMP
    Multi F1· 2024-07-05
    59
    best: 67.98 (YourMT3+ (YPTF.MoE+M))
    YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationarXiv:2407.04822
  • Music TranscriptiononSlakh2100
    Multi F1· 2024-07-05
    62
    best: 74.84 (YourMT3+ (YPTF.MoE+M))
    YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem AugmentationarXiv:2407.04822