Once I have a bit more detail, I can dive deeper into that specific niche for you. What kind of device or software are you using where this name appeared? AI responses may include mistakes. Learn more
| Area | Action | Expected gain | |------|--------|----------------| | | Remove outliers, fix label errors, balance classes | +5–15% accuracy | | Feature extraction | Switch from MFCCs to CQT or learnable frontend | Better timbre/harmonic representation | | Model architecture | Add residual connections or attention | Reduced overfitting, higher detail | | Training regime | Use cosine annealing + early stopping | Faster convergence | | Post-processing | Apply median filtering or Viterbi decoding | Smoother predictions | mird226 better