Codebook-Based Bayesian Speech Enhancement for Nonstationary Environments

@article{Srinivasan2007CodebookBasedBS,
  title={Codebook-Based Bayesian Speech Enhancement for Nonstationary Environments},
  author={Sriram Srinivasan and Jonas Samuelsson and W. Bastiaan Kleijn},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2007},
  volume={15},
  pages={441-452}
}
In this paper, we propose a Bayesian minimum mean squared error approach for the joint estimation of the short-term predictor parameters of speech and noise, from the noisy observation. We use trained codebooks of speech and noise linear predictive coefficients to model the a priori information required by the Bayesian scheme. In contrast to current Bayesian estimation approaches that consider the excitation variances as part of the a priori information, in the proposed method they are computed… CONTINUE READING
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