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This paper proposes a novel approach to construct a Deep Neural Network (DNN) based voice conversion (VC) system, where DNNs are integrated with speaker eigenspace. The proposed network consists of multiple DNNs and each of them converts input features to features corresponding to a base of eigenspace. Training of these DNNs is achieved with the assistance of Eigenvoice GMM (EVGMM). Experimental evaluations...
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