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 is one of the well-known models of art...

There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric models [3], MLP [4]). The main motivation of these methods is to benefit from the enforced inner structure of the data. This paper presents how functional data can be used with RBFN, and how the inner structure of the form...

We have created a radial basis function network that allocates a new computational unit whenever an unusual pattern is presented to the network. The network learns by allocating new units and adjusting the parameters of existing units. If the network performs poorly on a presented pattern, then a new unit is allocated which memorizes the response to the presented pattern. If the network perform...

In this study, a network using radial basis functions as the mapping function in the evolutionary equation for prediction of time series is presented. A radial basis function network requires the determination of the number of centres of the radial basis functions, their receptive field widths, and the linear weights of the network output layer. Methods to estimate the widths of the receptive f...

Radial Basis Function Networks (RBFNs) have been successfully employed in several function approximation and pattern recognition problems. In RBFNs, radial basis functions are used to compute the activation of artificial neurons. The use of different radial basis functions in RBFN has been reported in the literature. Here, the use of the q-Gaussian function as a radial basis function in RBFNs i...

In this paper an attempt is made to develop speaker & gender identification system using continuous speech signal spoken in different languages as input. MFCCs and delta-MFCCs are used to build modal for classification . Radial basis function network is used for classification. Here resilient back propagation algorithm used to train Multilingual Speech signal . Two separate modules are used for...

In this paper the behaviour of a multiobjective cooperativecoevolutive hybrid algorithm for the optimization of the parameters defining a Radial Basis Function Network developed by our group, is analyzed. In order to demonstrate the robustness of the behaviour of the presented methodology when the parameters of the algorithm are modified, a statistical analysis has been carried out. In the pres...

In this paper, the localized method of approximate particular solutions (LMAPS) using radial basis functions (RBFs) has been simplified and applied to near-singular elliptic problems in twoand three-dimensional spaces. The leave-one-out cross validation (LOOCV) is used in LMAPS to search for a good shape parameter of multiquadric RBF. The main advantage of the method is that a small number of n...

The Weibull, Gamma and Log-normal densities are similar in shape for the same coefficient of variation, making it difficult to identify the differences between the three densities. This paper is concerned with separating these three probability densities using feature descriptors, identified by pruning a Radial Basis Function (RBF) network using pivoted QLP decomposition generated for each dens...

Forecasting the unit cost of a semiconductor product is an important task to the manufacturer. However, it is not easy to deal with the uncertainty in the unit cost. In order to effectively forecast the semiconductor unit cost, a collaborative and artificial intelligence approach is proposed in this study. In the proposed methodology, a group of domain experts is formed. These domain experts ar...