Disentangled Speaker and Nuisance Attribute Embedding for Robust Speaker Verification
نویسندگان
چکیده
منابع مشابه
Comparison of input and feature space nonlinear kernel nuisance attribute projections for speaker verification
Nuisance attribute projection (NAP) was an effective method to reduce session variability in SVM-based speaker verification systems. As the expanded feature space of nonlinear kernels is usually high or infinite dimensional, it is difficult to find nuisance directions via conventional eigenvalue analysis and to do projection directly in the feature space. In this paper, two different approaches...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3012893