A Non-Linear Speaker Adaptation Technique using Kernel Ridge Regression

@article{Saon2006ANS,
  title={A Non-Linear Speaker Adaptation Technique using Kernel Ridge Regression},
  author={George Saon},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={1},
  pages={I-I}
}
We propose a non-linear model space transformation for speaker or environment adaptation based on weighted kernel ridge regression (KRR). The transformation is given by a generalized least squares linear regression in a kernel-induced feature space operating on Gaussian mixture model means and having as targets the adaptation frames. Using the "kernel trick", the solution to the optimization problem is obtained by solving a system of linear equations involving the Gram matrix of the input… CONTINUE READING

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