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CAINE
2010
13 years 7 months ago
Real-Time Emotional Speech Processing for Neurorobotics Applications
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
Corey M. Thibeault, Oscar Sessions, Philip H. Good...
ATAL
2009
Springer
14 years 4 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
FIW
2003
106views Communications» more  FIW 2003»
13 years 11 months ago
Context and Intent in Call Processing
A new feature set suited for IP telephony is described. The user value of this feature set is discussed in terms of social science results. This feature set supports natural human ...
Tom Gray, Ramiro Liscano, Barry Wellman, Anabel Qu...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 3 months ago
The Role of Motion Information in Learning Human-Robot Joint Attention
— To realize natural human-robot interactions and investigate the developmental mechanism of human communication, an effective approach is to construct models by which a robot im...
Yukie Nagai
TIP
2010
164views more  TIP 2010»
13 years 4 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...