Table 4 Speech quality in terms of SRMR for simulated and real reverberated speech samples through architecture depth for REVERB-Dev dataset. The last rows represents the mean and standard deviation along the experiments presented for each column
From: Progressive loss functions for speech enhancement with deep neural networks
Reference systems | Progressive systems | ||||||
|---|---|---|---|---|---|---|---|
Condition | Blocks depth | CNN | ResNet | P-CNN with WP | P-CNN with UP | P-ResNet with WP | P-ResNet with UP |
Simulated | 8 | 7.33 | 8.23 | 6.49 | 7.53 | 8.31 | 7.91 |
16 | 7.60 | 8.27 | 8.96 | 7.70 | 8.41 | 8.05 | |
24 | 8.87 | 8.14 | 6.18 | 8.09 | 8.03 | 8.02 | |
32 | 7.01 | 8.56 | 7.65 | 7.41 | 7.98 | 7.78 | |
Real | 8 | 6.05 | 6.82 | 4.90 | 6.32 | 7.06 | 6.91 |
16 | 5.98 | 5.81 | 3.74 | 7.26 | 7.14 | 6.85 | |
24 | 4.76 | 5.77 | 2.07 | 6.90 | 6.53 | 6.91 | |
32 | 3.35 | 6.33 | 2.33 | 6.34 | 5.97 | 6.62 | |
AVG5 ±STD | 8 | 6.69 ±0.64 | 7.52 ±0.70 | 5.69 ±0.79 | 6.92 ±0.60 | 7.68 ±0.62 | 7.41 ±0.50 |
16 | 6.79 ±0.81 | 7.04 ±1.23 | 6.35 ±2.61 | 7.48 ±0.22 | 7.77 ±0.63 | 7.45 ±0.60 | |
24 | 6.81 ±2.05 | 6.97 ±1.16 | 4.12 ±2.05 | 7.49 ±0.59 | 7.28 ±0.75 | 7.46 ±0.55 | |
32 | 5.18 ±1.83 | 7.44 ±1.11 | 4.99 ±2.66 | 6.87 ±0.53 | 6.97 ±1.00 | 7.20 ±0.58 |