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Voice conversion algorithm aims to provide high level of similarity to the target voice with an acceptable level of quality. The main object of this paper was to build a nonlinear relationship between the parameters for the acoustical features of source and target speaker using non-linear canonical correlation analysis (NLCCA) based on jointed Gaussian mixture model. Speaker individuality transformation...
This paper proposes a robust two-channel frequency selective multiple signal classification (MUSIC) method to find a direction of arrival (DoA) information of speech signal. To overcome a phase distortion caused by reverberation and background noise in real acoustic room environments, we adopt a least square (LS)-based phase estimation method. In the phase compensation stage, distorted phases are...
This paper develops and compares the maximum aposteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in additive white Gaussian noise. The MMSE estimator is expressed in closed-form using the generalized incomplete gamma function. We also find a computationally efficient yet accurate approximation for the MMSE estimator. In addition,...
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