Absract--Voice conversion involves transformation of speaker characteristics in a speech uttered by a speaker called source speaker to generate a speech having voice characteristics of a desired speaker called the target speaker. Voice conversion is used in many applications namely dubbing, to enhance the quality of the speech, text-to-speech synthesizers, online games, multimedia, music, cross...

Artificial Neural Networks(ANN) has applications in the various fields. Non linear transformation problems can be solved using ANN. Generally the parameter weight is initialized to some random value. In this paper we have used Sigmoidal FFANN. The training is done using Gaussian learning rate and weights are initialized to zero. It is found that the training of Sigmoidal FFANN can be done even ...

A simple and efficient strategy for Bacterial Artificial Chromosome (BAC) recombineering based on co-selection is described. We show that it is possible to efficiently modify two positions of a BAC simultaneously by co-transformation of a single-stranded DNA oligo and a double-stranded selection cassette. The use of co-selection BAC recombineering reduces the DNA manipulation needed to make a c...

This paper describes an artificial agent system, designed to help people in organizations to learn and to adopt knowledge-sharing practices. The agent, a personal assistant, continuously analyses the actions of the user in order to build and maintain a "behavioural profile" reflecting the level of adoption of the "desired" behaviours. Using this profile, and relying on a model borrowed from cha...

In this chapter, we summarize the research on querying inconsistent databases we have been conducting over the last five years. The formal framework we have used is based on two concepts: repair and consistent query answer. We describe different approaches to the issue of computing consistent query answers: query transformation, logic programming, inference in annotated logics, and specialized ...

Advanced technological trends, such as artificial intelligence, robotics, blockchain, virtual and augmented reality technologies, have become the most important catalyst for a new stage of digital transformation. They provided unique opportunities solving various tasks. Based on analysis current trends in economy, author defines "Digital transformation". The objectives presented research are to...

In this chapter, we summarize the research on querying inconsistent databases we have been conducting over the last five years. The formal framework we have used is based on two concepts: repair and consistent query answer. We describe different approaches to the issue of computing consistent query answers: query transformation, logic programming, inference in annotated logics, and specialized ...

This paper proposes a potential switching scheme that enlarges stable region of feature-based visual servoing. Relay images that interpolate initial and reference image features are generated by using a f ine transformation. Artificial potentials defined by the relay images are patched around the reference point of the original potential to enlarge the stable region. Simulations with simplified...