Sandro Cumani

Memory-aware i-vector extraction by means of sub-space factorization

2015

Most of the state-of-the-art speaker recognition systems use i-vectors, a compact representation of spoken utterances. Since the “standard” i-vector extraction procedure requires large memory structures, we recently presented the Factorized Sub-space Estimation (FSE) approach, an …

Discriminative multi-domain PLDA for speaker verification

2016

Domain mismatch occurs when data from application-specific target domain is related to, but cannot be viewed as iid samples from the source domain used for training speaker models. Another problem occurs when several training datasets …