In this study, we investigated the information processing stages underlying associative recognition. We recorded EEG data while participants performed a task that involved deciding whether a probe word triple matched any previously studied triple. We varied the similarity between probes and studied triples. According to a model of associative recognition developed in the Adaptive Control of Tho...

We present and compare different approaches for crossvariety speaker transformation in Hidden Semi-Markov Model (HSMM) based speech synthesis that allow for a transformation of an arbitrary speaker’s voice from one variety to another one. The methods developed are applied to three different varieties, namely standard Austrian German, one Middle Bavarian (Upper Austria, Bad Goisern) and one Sout...

In this correspondence, on-line quasi-Bayes adaptation of the mixture coefficients and mean vectors in semicontinuous hidden Markov model (SCHMM) is studied. The viability of the proposed algorithm is confirmed and the related practical issues are addressed in a specific application of on-line speaker adaptation using a 26-word English alphabet vocabulary.

This article concentrates on the model-based fuzzy $l_{2}-l_{\infty }$ filtering problem of a discrete-time semi-Markov jump nonlinear system. The random jumps in studied system are governed by process. Therefore, storage characteristic...

We consider a threshold type control mechanism for dynamic setup/release of λ-channels in optical networks. There are two types of costs for the control mechanism: the setup/release cost and the operation cost. For such a control mechanism, there is a corresponding Markov model with high complexity. By state aggregation, we are able to identify a semi-Markov process that is simpler to analyze. ...