Sound Event Detection on DESED
0.57ScoreUniWhisper
Evaluation Results
| Method | Links | |
|---|---|---|
| UniWhisperEvaluation Protocol=MLP2026.02 | 0.57 | |
| Ensemble (Submission)Ensemble Strategy=Embedding Concatenation2026.01 | 0.566 | |
| Dasheng 1.2BParameter Count=1.2B2026.01 | 0.563 | |
| BEATs (90M) iter3Parameter Count=90M, Iteration=32026.01 | 0.56 | |
| BEATs (300M) BalancedParameter Count=300M, Pre-training Mixture=Balanced (40:30:30)2026.01 | 0.552 | |
| BEATs (300M) SpeechParameter Count=300M, Pre-training Mixture=Speech-heavy (70:15:15)2026.01 | 0.551 | |
| Challenge BaselineDescription=Best among Dasheng-base, data2vec, and Whisper2026.01 | 0.532 | |
| Whisper-U-3Evaluation Protocol=MLP2026.02 | 0.443 | |
| WavLMEvaluation Protocol=MLP2026.02 | 0.388 | |
| HuBERTEvaluation Protocol=MLP2026.02 | 0.335 | |
| wav2vec 2.0Evaluation Protocol=MLP2026.02 | 0.317 | |
| Whisper-UEvaluation Protocol=MLP2026.02 | 0.31 | |
| WhisperEvaluation Protocol=MLP2026.02 | 0.294 | |
| CLAP-UEvaluation Protocol=MLP2026.02 | 0.202 | |
| BEATsEvaluation Protocol=MLP2026.02 | 0.042 | |
| CLAPEvaluation Protocol=MLP2026.02 | 0.024 | |
| CLAP-UEvaluation Protocol=kNN2026.02 | 0 |