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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