Two-wire nuisance attribute projection
نویسندگان
چکیده
This paper addresses the task of nuisance reduction in twowire speaker recognition applications. Besides channel mismatch, two-wire conversations are contaminated by extraneous speakers which represent an additional source of noise in the supervector domain. It is shown that two-wire nuisance manifests itself as undesirable directions in the interspeaker subspace. For this purpose, we derive two alternative Nuisance Attribute Projection (NAP) formulations tailored for two-wire sessions. The first formulation generalizes the NAP framework based on a model of two-wire conversations. The second formulation explicitly models the fourvs. two-wire supervector variability. Preliminary experiments show that two-wire NAP significantly outperforms regular NAP in varied two-wire tasks.
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