Table 1 Results for a simulated STNO neural network with N = 400 nodes.
Filter | Training | Testing | Overfitting | ||
|---|---|---|---|---|---|
WSR (std) | MSE (std) | WSR (std) | MSE (std) | MSEtest/MSEtrain | |
Cochleagram | 100.0% (0.0%) | 0.0133 (1.1 · 10−4) | 99.6% (0.8%) | 0.0193 (2.3 · 10−3) | 1.451 |
MFCC | 99.8% (0.1%) | 0.0259 (1.1 · 10−4) | 99.2% (1.0%) | 0.0283 (8.2 · 10−4) | 1.093 |
\(\Re \)(Spectro) | 75.7% (0.6%) | 0.0708 (1.1 · 10−4) | 65.2% (4.2%) | 0.0738 (7.3 · 10−4) | 1.042 |
Spectro HP | 99.2% (0.2%) | 0.0362 (9.9 · 10−5) | 98.6% (1.9%) | 0.0384 (6.5 · 10−4) | 1.061 |