Approximate Bayesian robust speech processing

@article{Maina2011ApproximateBR,
  title={Approximate Bayesian robust speech processing},
  author={Ciira Wa Maina and John MacLaren Walsh},
  journal={2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)},
  year={2011},
  pages={397-400}
}
We present a comparison of two variational Bayesian algorithms for joint speech enhancement and speaker identification. In both algorithms we make use of speaker dependent speech priors which allows us to perform speech enhancement and speaker identification jointly. For the first algorithm we work in the time domain and in the second we work in the log spectral domain. Our work is built on the intuition that speaker dependent priors would work better than priors that attempt to capture global… CONTINUE READING

Similar Papers

Figures and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 13 REFERENCES

Joint Speech Enhancement and Speaker Identification Using Approximate Bayesian Inference

  • IEEE Transactions on Audio, Speech, and Language Processing
  • 2010
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Robust Speaker Recognition in Noisy Conditions

  • IEEE Transactions on Audio, Speech, and Language Processing
  • 2007
VIEW 1 EXCERPT

Pattern Recognition and Machine Learning (Information Science and Statistics)

C. M. Bishop
  • 2006
VIEW 1 EXCERPT