Gaussian Mixture Models

@inproceedings{Reynolds2009GaussianMM,
  title={Gaussian Mixture Models},
  author={Douglas A. Reynolds},
  booktitle={Encyclopedia of Biometrics},
  year={2009}
}
  • D. Reynolds
  • Published in Encyclopedia of Biometrics 2009
  • Computer Science
Definition A Gaussian Mixture Model (GMM) is a parametric probability density function represented as a weighted sum of Gaussian component densities. GMMs are commonly used as a parametric model of the probability distribution of continuous measurements or features in a biometric system, such as vocal-tract related spectral features in a speaker recognition system. GMM parameters are estimated from training data using the iterative Expectation-Maximization (EM) algorithm or Maximum A Posteriori… 

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References

SHOWING 1-6 OF 6 REFERENCES

Robust text-independent speaker identification using Gaussian mixture speaker models

TLDR
The individual Gaussian components of a GMM are shown to represent some general speaker-dependent spectral shapes that are effective for modeling speaker identity and is shown to outperform the other speaker modeling techniques on an identical 16 speaker telephone speech task.

Speaker Verification Using Adapted Gaussian Mixture Models

TLDR
The major elements of MIT Lincoln Laboratory's Gaussian mixture model (GMM)-based speaker verification system used successfully in several NIST Speaker Recognition Evaluations (SREs) are described.

Mixture Models

TLDR
This paper discusses both issues and cover the basic methods of mixture models, and introduces some modern methods and gives numerous examples.

Vector quantization

  • R. Gray
  • Computer Science
    IEEE ASSP Magazine
  • 1984
TLDR
During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes.

Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Vibratory power unit for vibrating conveyers and screens comprising an asynchronous polyphase motor, at least one pair of associated unbalanced masses disposed on the shaft of said motor, with the

A Gaussian mixture modeling approach to text-independent speaker identification