A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
This paper introduces the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition is to evaluate and compare automatic techniques for deriving structu...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...
In this paper, we present a new method for on-line Chinese character recognition that relies on an explicit description of characters structure. Contrary to most of known structur...
The computerisation of clinical guidelines can greatly benefit from the automatic analysis of their content using Natural Language Processing techniques. Because of the central rol...
Gersende Georg, Hugo Hernault, Marc Cavazza, Helmu...
In this paper, we present an automatic motherese detection system for the study of parent-infant interaction analysis. Motherese is a speech register directed towards infants and ...