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Instrument Recognition 벤치마크

Instrument Recognition on NSynth

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Accuracy

69.2 72.05 74.9 77.75 80.6 2022-07 2026-09 melspect — 72.1 (2022-07-12) EfficientLEAF — 71.7 (2022-07-12) LEAF — 69.2 (2022-07-12) MATPAC (SSL, linear eval) — 74.6 (2025-02-17) M2D-CLAP — 80.6 (2025-03-28) M2D2 AS+ — 79.7 (2025-03-28) M2D AS — 78.7 (2025-03-28) melspect — 72.1 (2022-07-12) MATPAC (SSL, linear eval) — 74.6 (2025-02-17) M2D-CLAP — 80.6 (2025-03-28)
RankModel Accuracy PaperCodeYear
1 M2D-CLAP 80.6 M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP nttcslab/m2d · nttcslab/eval-audio-repr 2025
2 M2D2 AS+ 79.7 M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP nttcslab/m2d · nttcslab/eval-audio-repr 2025
3 M2D AS 78.7 M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP nttcslab/m2d · nttcslab/eval-audio-repr 2025
4 MATPAC (SSL, linear eval) 74.6 Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning aurianworld/matpac 2025
5 melspect 72.1 EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use cpjku/efficientleaf 2022
6 EfficientLEAF 71.7 EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use cpjku/efficientleaf 2022
7 LEAF 69.2 EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use cpjku/efficientleaf 2022
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