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...
On one hand, visual modeling languages are often used today in engineering domains, Mathworks’ Simulink/Stateflow for simulation, signal processing and controls being the prime ...
Sandeep Neema, Zsolt Kalmar, Feng Shi, Attila Vizh...
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Digital signal processing applications are implemented in embedded systems with fixed-point arithmetic to minimize the cost and the power consumption. To reduce the application ti...
LOFAR is the first of a new generation of radio telescopes. Rather than using expensive dishes, it forms a distributed sensor network that combines the signals from many thousands...
John W. Romein, P. Chris Broekema, Jan David Mol, ...