Decision tree-based context clustering is the essential but timeconsuming part of building HMM-based speech synthesis systems. The widely used implementation of this technique is ...
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Microarrays allow the monitoring of expressions for tens of thousands of genes simultaneously. Image analysis is an important aspect for microarray experiments that can affect sub...
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...