Table 2 The specific information of the database
From: Neural network-based non-intrusive speech quality assessment using attention pooling function
| Conditions | Background noise |
|---|---|
| MNRU (Q = 5, 6, 10, 12, 15, 18, 24, 25, 30, 35, 36) | No background noise |
| MNRU (Q = 8, 14, 20, 26, 32) | Car noise: 15dB |
| G.729.1 | No background noise |
| Office noise: 40dB | |
| Babble noise: 40dB | |
| Babble noise: 128dB | |
| Car noise: 15dB | |
| Street noise: 20dB | |
| G.711, Codec1, Codec2 | No background noise |
| Background music | |
| Office noise | |
| Babble noise | |
| Interfering talker | |
| Car noise | |
| Office noise: 40dB | |
| G.729, G.729E, Codec3, Codec4, Codec5, Codec6 | No background noise |
| Car noise: 15dB |