Bob 2.0 computation of GMM statistics
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The code for this algorithm in Python
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For a given set of feature vectors and a Gaussian Mixture Model (GMM), this algorithm computes the 0th, 1st and 2nd order GMM Statistics (Baum-Welch) relying on Bob implementation.
This algorithm relies on the Bob library.
The inputs are:
The output are the statistics of the GMM of a given set of feature vectors (MAP adaptation).
This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.