In this paper, we assess and compare four methods for the local estimation of noise spectra, namely the energy clustering, the Hirsch histograms, the...
Due to inaccuracies in the modeling procedure, estimation errors, and poor data to parameter ratios, adaptation techniques can perform poorly when onl...
We examine key research issues in adaptively modifying the conventional plug-in MAP decision rules in order to improve the robustness of the classific...
This paper addresses the problem of automatic numeric recognition and understanding in spoken language dialogue. We show that accurate numeric underst...
In this paper, we discuss acoustic backing-off as a method to improve automatic speech recognition robustness. Acoustic backing-off aims to achieve th...
