Log-likelihood: 12.06
Papers with Code · CC BY-SA 4.0
Density Estimation
The goal of Density Estimation is to give an accurate description of the underlying probabilistic density distribution of an observable data set with unknown density.
<span class="description-source">Source: Contrastive Predictive Coding Based Feature for Automatic Speaker Verification </span>
논문
Log-likelihood: 8.59CD: 1.29EMD: 0.146MMD-CD: 0.95
CD: 0.89EMD: 0.131MMD-CD: 0.39MMD-EMD: 0.121
Log-likelihood: 153.71
Log-likelihood: 3.83
Log-likelihood: 9.73
NLL (bits/dim): 2.55
NLL (bits/dim): 2.99
NLL (bits/dim): 2.64
NLL (bits/dim): 2.73
NLL (bits/dim): 2.90
NLL (bits/dim): 2.42
Log-likelihood: 8.47
NLL (bits/dim): 2.92
NLL (bits/dim): 2.99
Log-likelihood: 159.8
NLL (bits/dim): 2.65