The neural network was trained on the TIMIT corpus and his weights updated in real-time during the compression in order to model better the speech characteristics of the current speaker.

• 神经网络从TIMIT语音库中习得信息；在压缩过程中神经网络的权重不断得以更新，提高了模式化当前发言者语音特征的质量。