Independent Speaker Identification Using Automatic Acoustic Segmentation

@inproceedings{Rose2004IndependentSI,
  title={Independent Speaker Identification Using Automatic Acoustic Segmentation},
  author={Richard C. Rose and Douglas A. Reynolds},
  year={2004}
}
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
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