Independent Speaker Identification Using Automatic Acoustic Segmentation

  title={Independent Speaker Identification Using Automatic Acoustic Segmentation},
  author={Richard C. Rose and Douglas A. Reynolds},
This paper describes an acoustic class dependent technique for text independent speaker identification on very short utterances. The technique is based on maximum likelihood estimation of a Gaussian mixture model representation of speaker identity. Gaussian mixtures are noted for their robustness as a parametric model and their ability to form smooth estimates of rather arbitrary underlying densities. Speaker model parameters are estimated using a special case of the iterative Expectation… CONTINUE READING
33 Citations
5 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 33 extracted citations


Publications referenced by this paper.
Showing 1-5 of 5 references

Unsupervised speaker adaptation by probabilistic spectrum fitting

  • S. Roucos
  • Proc . Inl . Con $ on Acoust . , Speech , and Sig…
  • 1989

Miatwe Models

  • G. J . McLachlan
  • 1988

Speaker recognition

  • D. O'Shaunessy
  • IEEE ASSP Magazine,
  • 1986

Similar Papers

Loading similar papers…