Acoustic Scene Classification on TUT Acoustic Scenes
67.54AccuracyCNN14
Evaluation Results
| Method | Links | |
|---|---|---|
| CNN14Model Type=Teacher Model, # Parameters=79.7M2025.01 | 67.54 | |
| MobileNetV1Model Type=Teacher Model, # Parameters=4.3M2025.01 | 66.13 | |
| HuBERTModel Type=Teacher Model, # Parameters=95.7M2025.01 | 65.42 | |
| ResNet38Model Type=Teacher Model, # Parameters=72.7M2025.01 | 65.34 | |
| Wav2Vec 2.0Model Type=Teacher Model, # Parameters=95.0M2025.01 | 65.28 | |
| WhisperModel Type=Teacher Model, # Parameters=74.0M2025.01 | 65.14 | |
| Student + CNN14Teacher Model=CNN14, # Parameters (Student vs. Teacher)=12.3K vs. 79.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 63.54 | |
| Student + MobileNetV1Teacher Model=MobileNetV1, # Parameters (Student vs. Teacher)=12.3K vs. 4.3M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 63.13 | |
| Student + HuBERTTeacher Model=HuBERT, # Parameters (Student vs. Teacher)=12.3K vs. 95.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 62.42 | |
| Student + ResNet38Teacher Model=ResNet38, # Parameters (Student vs. Teacher)=12.3K vs. 72.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 62.34 | |
| Student + Wav2Vec 2.0Teacher Model=Wav2Vec 2.0, # Parameters (Student vs. Teacher)=12.3K vs. 95.0M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 62.28 | |
| Student + WhisperTeacher Model=Whisper, # Parameters (Student vs. Teacher)=12.3K vs. 74.0M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 61.14 | |
| Student Only# Parameters=11.3K2025.01 | 58.13 | |
| HLTDNNModel Type=Student Model, # Parameters=11.3K2025.01 | 58.13 | |
| ssLALM-2.8Br=8, Conn.=Linear2025.09 | 35.9 | |
| SAM-130Mr=256, Conn.=(a), Experiment=E42025.09 | 33.3 | |
| SAM-780Mr=256, Conn.=(b), Ablation=4.2, Experiment=E122025.09 | 33.2 | |
| SAM-2.7Br=8, Conn.=(a), Experiment=E32025.09 | 32.8 | |
| SAM-780Mr=256, Conn.=(c), Ablation=4.2, Experiment=E132025.09 | 32.8 | |
| LTU-7Br=8, Conn.=Linear2025.09 | 32.5 | |
| SAM-780Mr=256, Conn.=(a), Ablation=4.1, Experiment=E82025.09 | 32.5 | |
| SAM-2.7Br=256, Conn.=(b), Ablation=4.2, Experiment=E142025.09 | 32.4 | |
| SAM-2.7Br=256, Conn.=(c), Ablation=4.2, Experiment=E152025.09 | 32.4 | |
| SAM-130Mr=256, Conn.=(c), Ablation=4.2, Experiment=E112025.09 | 32 | |
| SAM-2.7Br=256, Conn.=(a), Ablation=4.1, Experiment=E92025.09 | 31.8 | |
| SAM-780Mr=256, Conn.=(a), Experiment=E52025.09 | 31.7 | |
| SAM-2.7Br=256, Conn.=(a), Experiment=E62025.09 | 31.6 | |
| SAM-130Mr=256, Conn.=(a), Ablation=4.1, Experiment=E72025.09 | 31.6 | |
| SAM-130Mr=256, Conn.=(a), Ablation=4.3, Experiment=E162025.09 | 31.5 | |
| SAM-130Mr=256, Conn.=(b), Ablation=4.2, Experiment=E102025.09 | 30.9 | |
| SAM-780Mr=256, Conn.=(a), Ablation=4.3, Experiment=E172025.09 | 30.7 | |
| SAM-780Mr=8, Conn.=(a), Experiment=E22025.09 | 29.4 | |
| SAM-130Mr=8, Conn.=(a), Experiment=E12025.09 | 29.2 | |
| SAM-2.7Br=256, Conn.=(a), Ablation=4.3, Experiment=E182025.09 | 27.7 | |
| GAMA-7Br=8, Conn.=QFormer2025.09 | 21.5 |