We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
This paper describes the validation of the Enlisted Grade model gradebreaks and describes a current application of simulation in operations research. The Enlisted Grade model is p...
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Pitch mismatch between training and testing is one of the important factors causing the performance degradation of the speaker recognition system. In this paper, we adopted the mis...