Quantile based histogram equalization for noise robust large vocabulary speech recognition

@article{Hilger2006QuantileBH,
  title={Quantile based histogram equalization for noise robust large vocabulary speech recognition},
  author={Florian Hilger and Hermann Ney},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2006},
  volume={14},
  pages={845-854}
}
The noise robustness of automatic speech recognition systems can be improved by reducing an eventual mismatch between the training and test data distributions during feature extraction. Based on the quantiles of these distributions the parameters of transformation functions can be reliably estimated with small amounts of data. This paper will give a detailed review of quantile equalization applied to the Mel scaled filter bank, including considerations about the application in online systems… CONTINUE READING

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