In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...
This paper describes a service-oriented P2P architecture and related federated metaprogramming model to support development of highly scalable and reliable distributed collaborati...
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
There is a need for information, application, and other enterprise architectures which are robust and flexible enough to meet the challenges of today’s heterogeneous, rapidly cha...