Speech Decoding on sEEG
3.3707Cross-EntropyDu-IN (mae)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Du-IN (mae)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.05 | 3.3707 | 0.2882 | |
| Du-IN (vqvae)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.05 | 3.4309 | 0.2781 | |
| Du-IN (poms)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=5.18M2024.05 | 3.4429 | 0.2754 | |
| Du-INToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.05 | 3.5083 | 0.3003 | |
| Neuro-BERTToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=2.14M2024.05 | 3.6416 | 0.436 | |
| Du-IN (vqvae+vq)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.05 | 3.7244 | 0.3104 | |
| EEG-ConformerToken Level=Region, PT (Pre-trained)=false, MS (Multi-subject)=true, Model Size=2.34M2024.05 | 3.8165 | 0.3456 | |
| TS-TCCToken Level=Region, PT (Pre-trained)=false, MS (Multi-subject)=true, Model Size=0.32M2024.05 | 3.8871 | 0.3072 | |
| CNN-BIGRUToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=0.54M2024.05 | 4.0294 | 0.7621 | |
| DeWaveToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=5.70M2024.05 | 4.1891 | 0.5722 | |
| BrainBERTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=43.58M2024.05 | 4.619 | 0.2132 | |
| BrainBERTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=43.58M2024.05 | 4.6254 | 0.1984 | |
| LaBraM-PopTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=6.85M2024.05 | 4.6564 | 0.1893 | |
| BrantToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=69.35M2024.05 | 4.7962 | 0.7082 | |
| LaBraMToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=6.85M2024.05 | 4.8591 | 0.2723 | |
| BrantToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=69.35M2024.05 | 5.0294 | 1.0621 |