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...
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
We develop a new model-based extraction process guided by biomechanical analysis for walking people, and analyse its data for recognition capability. Hierarchies of shape and moti...
The design of the control software for complex systems is a difficult task. It requires the modeling, the simulation, the integration and the adaptation of a multitude of intercon...
Jean-Marc Perronne, Laurent Thiry, Bernard Thirion
Camera networks are being deployed for various applications like security and surveillance, disaster response and environmental modeling. However, there is little automated process...
Bi Song, Ahmed T. Kamal, Cristian Soto, Chong Ding...