Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification
We present a full derivation of ML learning of Gaussian PLDA Mixture Model. We introduce a homogenous i-vector extractor for a better separation in i-vector space. Unsupervised mixture of PLDA models performs better than supervised mixture.
unsupervised learning speaker verification plda mixture i-vector joint factor analysis