Small-footprint high-performance deep neural network-based speech recognition using split-VQ

@article{Wang2015SmallfootprintHD,
  title={Small-footprint high-performance deep neural network-based speech recognition using split-VQ},
  author={Yongqiang Wang and Jinyu Li and Yifan Gong},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={4984-4988}
}
Due to a large number of parameters in deep neural networks (DNNs), it is challenging to design a small-footprint DNN-based speech recognition system while maintaining a high recognition performance. Even with a singular value matrix decomposition (SVD) method and scalar quantization, the DNN model is still too large to be deployed on many mobile devices. Common practices like reducing the number of hidden nodes often result in significant accuracy loss. In this work, we propose to split each… CONTINUE READING
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