====== DNN Adaptation ======

===== Fast Adaptation of Deep Neural Networks =====

{{ :projects:dnnadapt:screen_shot_2015-02-11_at_11.18.45_am.png?0x250 | DNNAdpt}}

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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, "[[http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6874531&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6874531|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. \\ \\
[2] S. Xue, O. Abdel-Hamid, H. Jiang, L. Dai, "Direct Adaptation of Hybrid DNN/HMM Model for Fast Speaker Adaptation," //Proc. of of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'14)//, Florence, Italy, May 2014. \\ \\
[3] O. Abdel-Hamid and H. Jiang, "Rapid and Effective Speaker Adaptation of Convolutional Neural Network Based Models for Speech Recognition," //Proc. of Interspeech//, Lyon, France, 2013. \\ \\
[4] O. Abdel-Hamid and H. Jiang, "Fast Speaker Adaptation Of Hybrid NN/HMM Model for Speech Recognition based on Discriminative Learning of Speaker Code," //Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'13)//,  Canada, 2013.