This paper introduces a new optimization technique for moving segment labels (phone and subphonetic) to optimize statistical parametric speech synthesis models. The choice of obje...
We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
Mean value analysis is an elegant tool for determining mean performance measures in queueing models. We use the technique to analyze the M/G/1 retrial queue with exponential retri...
Compressed sensing is a recent technique by which signals can be measured at a rate proportional to their information content, combining the important task of compression directly ...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner