We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
Over the past decade, the notion of multi-modal access to technology has moved from the realms of science fiction to reality. It is not now unthinkable to communicate with a machi...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user in...
This paper describes a preliminary investigation into automatic assessment of reading comprehension in young children. In particular we studied the feasibility of automatic scorin...