# Gaussian Mixture Models

@inproceedings{Reynolds2009GaussianMM, title={Gaussian Mixture Models}, author={D. Reynolds}, booktitle={Encyclopedia of Biometrics}, year={2009} }

Definition A Gaussian Mixture Model (GMM) is a parametric probability d ensity function represented as a weighted sum of Gaussian component densities. GMMs are commonly used as a parametric odel of the probability distribution of continuous measur ements 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 itera tiv Expectation-Maximization (EM) algorithm or Maximum A… Expand

#### 303 Citations

Enhanced recognition of keystroke dynamics using Gaussian mixture models

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- MILCOM 2015 - 2015 IEEE Military Communications Conference
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Gaussian Mixture Model and Gaussian Supervector for Image Classification

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- 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
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Reducing computation in an i-vector speaker recognition system using a tree-structured universal background model

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- Speech Commun.
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A Fully-Pipelined Hardware Design for Gaussian Mixture Models

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- IEEE Transactions on Computers
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CONVEX LIKELIHOOD ALIGNMENTS FOR BIOACOUSTIC CLASSIFICATION

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- 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
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A Class-dependent Background Model for Speech Signal Feature Extraction

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- 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
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Constrained MLE-based speaker adaptation with L1 regularization

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- 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- 2014

#### References

SHOWING 1-6 OF 6 REFERENCES

Robust text-independent speaker identification using Gaussian mixture speaker models

- Computer Science
- IEEE Trans. Speech Audio Process.
- 1995

Speaker Verification Using Adapted Gaussian Mixture Models

- Computer Science
- Digit. Signal Process.
- 2000