Munehiro Namba

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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)
In this paper, we propose a probabilistic replica allocation scheme for reducing the total number of messages in multi hop networks. When data is distributed uniformly into the network such that every node has its own data, there are per-node and a network-wide problems caused by increasing the network traffic. To overcome the problems, although the(More)
There is a trend to introduce content caches as an inherent capacity of network device, such as routers, for improving the efficiency of content distribution and reducing network traffic. In this paper, we discuss the network state estimation in probabilistic caching based on a study with Bayesian inference, and propose a recursive estimation method for(More)
In this paper, a wavelet transform domain realization of the blind equalization technique termed as EVA is applied to speech analysis. The conventional linear prediction problem can be viewed as a constrained blind equalization problem. Because the EVA does not impose any restriction to the probability distribution in the input (the glottal excitation), the(More)
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