This paper presents a new connectionist model of the grounding of linguistic quantifiers in perception that takes into consideration the contextual factors affecting the use of vag...
Rohana K. Rajapakse, Angelo Cangelosi, Kenny R. Co...
Intelligibility predictors tell us a great deal about human speech perception, in particular which acoustic factors strongly effect human behavior, and which do not. A particular...
Bryce E. Lobdell, Jont B. Allen, Mark Hasegawa-Joh...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
A system that segments and labels tabla strokes from real performances is described. Performance is evaluated on a large database taken from three performers under different recor...
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...