Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition

@article{Xue2014FastAO,
  title={Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition},
  author={Shaofei Xue and Ossama Abdel-Hamid and Hui Jiang and Li-Rong Dai and Qingfeng Liu},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2014},
  volume={22},
  pages={1713-1725}
}
Fast adaptation of deep neural networks (DNN) is an important research topic in deep learning. In this paper, 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. Moreover, we present several training methods to learn connection weights from training data as well as the corresponding adaptation methods to learn new condition code from adaptation data for… CONTINUE READING
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Speaker adaptation of neural network acoustic models using i-vectors

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