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...
Varying channel conditions present a difficult problem for many speech technologies such as language identification (LID). Channel compensation techniques have been shown to sig...
Abstract. In a service-oriented world, a long-running business process can be implemented as a set of stateful services that represent the individual but coordinated steps that mak...
Surya Nepal, Alan Fekete, Paul Greenfield, Julian ...
The paper proposes a novel algorithm to enhance the quality of H.264/AVC compressed video sequences by using an inloop spatio-temporal motion compensated lter (MCSTF). Extra infor...
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...