Table 5 Speech quality in terms of SRMR, LLR, and PESQ for simulated and real reverberated speech. The last row represents the mean and standard deviation along the experiments presented in each column
From: Progressive loss functions for speech enhancement with deep neural networks
Reference systems | Progressive systems | ||||||||
|---|---|---|---|---|---|---|---|---|---|
Dataset | Unproc. | WPE [32] | CNN | ResNet | P-CNN | P-CNN | P-ResNet | P-ResNet | |
with WP | with UP | with WP | with UP | ||||||
Simulated condition | |||||||||
REVERB | SRMR | 6.34 | 6.64 | 7.37 | 7.90 | 8.16 | 7.46 | 8.08 | 7.84 |
Eval | LLR | 0.57 | 0.49 | 0.47 | 0.79 | 0.53 | 0.48 | 0.49 | |
PESQ | 2.27 | 2.57 | 2.68 | 2.16 | 2.43 | 2.73 | 2.57 | ||
Real condition | |||||||||
REVERB Eval | SRMR | 3.44 | 3.74 | 5.86 | 5.79 | 3.84 | 7.23 | 7.00 | 6.83 |
VoiceHome V0.2 | SRMR | 3.23 | 3.38 | 5.80 | 5.69 | 2.58 | 5.49 | 7.32 | 5.72 |
VoiceHome V1.0 | SRMR | 4.04 | 4.47 | 5.89 | 6.13 | 2.78 | 5.81 | 7.31 | 6.27 |
Average | |||||||||
AVG ±STD | SRMR | 4.26 ±1.24 | 4.56 ±1.26 | 6.23 ±0.66 | 6.38 ±0.89 | 4.34 ±2.26 | 6.50 ±0.86 | 7.43 ±0.40 | 6.66 ±0.78 |