Compute the GMM Statistics
Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.
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.
Different of the gmm_statistics algorithm, this one works with only one synchronization channel.
The inputs are:
The output are the statistics of the GMM of a given set of feature vectors (MAP adaptation).