2016
Towards PLDA-RBM based speaker recognition in mobile environment: Designing stacked/deep PLDA-RBM systems
ICASSP 2016accepted
The vast majority of text-independent speaker recognition systems rely on intermediate-sized vectors (i-vectors), which are compared by probabilistic linear discriminant analysis (PLDA). This paper proposes a PLDA-alike approach with restricted Boltzmann machines for i-vector based speaker recogniti…