Cross‐domain variation compensation for robust speaker verification
Houjun Huang, Ruohua Zhou, Yonghong Yan · Electronics Letters · 2015
Recent studies have shown that when state‐of‐the‐art probabilistic linear discriminant analysis (PLDA) speaker verification systems are developed with out‐domain data, the mismatch between development data and evaluation data significantly degrades speaker verification performance. An unsupervised cross‐domain variation compensation (CDVC) approach to compensate the domain mismatch is proposed. This approach is based on the assumption that the inter‐domain variability is an additive factor with normal distribution in the i ‐vector space. The effect of the approach on the domain adaption challenge of the JHU 2013 speaker recognition workshop is tested. Applying the CDVC approach on evaluation i ‐vectors, the out‐domain PLDA system achieves a relative performance improvement of 61.9% in equal error rate.