| 摘要 |
<p>According to an embodiment, a model learning device learns a model having a full covariance matrix shared among a plurality of Gaussian distributions. The device includes a first calculator to calculate, from training data, frequencies of occurrence and sufficient statistics of the Gaussian distributions contained in the model; and a second calculator to select, on the basis of the frequencies of occurrence and the sufficient statistics, a sharing structure in which a covariance matrix is shared among Gaussian distributions, and calculate the full covariance matrix shared in the selected sharing structure.</p> |
