Domain Mismatch Compensation for Text-Independant Speaker Recognition



The impact of domain mismatch when the system training data and the evaluation data are collected from different sources remains a challenge. This study lays out state-of-the-art techniques used for domain mismatch compensation such as a library of whitening transforms and the use of a dataset-invariant covariance normalization matrix to obtain domain-invariant representations of feature vectors.