Fast adaptation of deep neural networks (DNN) is an important research topic in deep learning. Here, we have proposed a general adaptation scheme for DNN based on discriminant condition codes, which are directly fed to various layers of a pre-trained DNN through a new set of connection weights.

References:

[1] S. Xue, O. Abdel-Hamid, H. Jiang, L. Dai, Q. Liu, “Fast Adaptation of Deep Neural Network based on Discriminant Codes for Speech Recognition,” IEEE/ACM Trans. on Audio, Speech and Language Processing, pp.1713-1725, Vol. 22, No. 12, December 2014.