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» Context-Aided Human Recognition - Clustering
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PAA
2006
13 years 7 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
ICASSP
2011
IEEE
12 years 11 months ago
Speaker verification by inexperienced and experienced listeners vs. speaker verification system
This paper describes the participation of the LIA in the Human Assisted Speaker Recognition (HASR) task of the NIST-SRE 2010 evaluation campaign and its extension to a larger numb...
Juliette Kahn, Nicolas Audibert, Solange Rossato, ...
HIP
2005
Springer
172views Cryptology» more  HIP 2005»
14 years 1 months ago
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
Human interaction proofs (HIPs) have become common place on the internet due to their effectiveness in deterring automated abuse of online services intended for humans. However, th...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
AVI
2008
13 years 10 months ago
A system for dynamic 3D visualisation of speech recognition paths
This paper presents an interactive visualisation system that assists users of semi-automatic speech transcription systems to assess alternative recognition results in real time an...
Saturnino Luz, Masood Masoodian, Bill Rogers, Bo Z...