Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains

J.-L. Gauvain; Chin‐Hui Lee

doi:https://doi.org/10.1109/89.279278

Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains

1994 · IEEE Transactions on Speech and Audio Processing · 2,117 citations · 3 from inside this corpus

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Speaker Verification Using Adapted Gaussian Mixture Models→Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov …Legacy edge — source detail unavailable
Maximum likelihood linear regression for speaker adaptation of continuous density hidden …→Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov …Legacy edge — source detail unavailable
Distributed Systems: Principles and Paradigms→Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov …Legacy edge — source detail unavailable
Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov …→Mixture Densities, Maximum Likelihood and the EM AlgorithmLegacy edge — source detail unavailable
Distributed Systems: Principles and Paradigms→Speaker Verification Using Adapted Gaussian Mixture ModelsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Mixture Densities, Maximum Likelihood and the EM Algorithm	1984	2,720

What cites it, inside the corpus

Paper	Year	Cited
Speaker Verification Using Adapted Gaussian Mixture Models	2000	4,285
Maximum likelihood linear regression for speaker adaptation of continuous density hidden …	1995	2,214
Distributed Systems: Principles and Paradigms	2001	2,102

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Topics

Speech Recognition and Synthesis	Computer Science
Speech and Audio Processing	Computer Science
Bayesian Methods and Mixture Models	Computer Science

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