Many database applications need accountability and trace-ability that necessitate retaining previous database states. For a transaction-time database supporting this, the choice o...
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
DSDT is a programming tool for writing durable scripts which contain short ACID transactions as components. The context of the script is made durable by writing a log record whene...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
In this paper we discuss extensions to the conventional relatronal algebra to support transaction time We show that these extensions are applicable to hrstorlcal algebras that sup...