Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
This paper investigates a new approach for the personal recognition using rank level combination of multiple palmprint representations. There has been very little effort to study r...
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Recently, an increasing attention has been paid to Mandarin word stress which is important for improving the naturalness of speech synthesis. Most of the research on Mandarin spee...
Ya Li, Jianhua Tao, Meng Zhang, Shifeng Pan, Xiaoy...
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...