Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
A conventional automatic speech recognizer does not perform well in the presence of multiple sound sources, while human listeners are able to segregate and recognize a signal of i...
Yang Shao, Soundararajan Srinivasan, Zhaozhang Jin...
Analyzing the effect of concentrated noise on a typical decision-making process of a simplified two-candidate voting model, we have demonstrated that a local approach using a regi...
This paper presents a technique to identify and measure the prominent sources of sensor noise in commercially available CCD video cameras by analysis of the output images. Noise fu...
Kenji Irie, Alan E. McKinnon, Keith Unsworth, Ian ...