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This paper presents a novel algorithm that modifies the speech uttered by a source speaker to sound as if produced by a target speaker. In particular, we address the issue of transformation of the vocal tract characteristics from one speaker to another. The approach is based on estimating spectral envelopes using radial basis function (RBF) networks, which(More)
The classical learning technique such as the back-propagation algorithm minimizes the expectation of the squared error that arise between the actual output and the desired output of supervised neural networks. The network trained by such a technique, however, does not behave in the desired way, when it is embedded in the system that deals with non-Gaussian(More)
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