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SPEECH
2011
14 years 11 months ago
SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech
Most of the existing intelligibility measures do not account for the distortions present in processed speech, such as those introduced by speech-enhancement algorithms. In the pre...
Jianfen Ma, Philipos C. Loizou
TITB
2010
123views Education» more  TITB 2010»
14 years 11 months ago
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data
Progressive loss of the field of vision is characteristic of a number of eye diseases such as glaucoma, a leading cause of irreversible blindness in the world. Recently, there has ...
Allan Tucker, David Garway-Heath
ICASSP
2011
IEEE
14 years 8 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
ISPW
2005
IEEE
15 years 10 months ago
Automatically Analyzing Software Processes: Experience Report
Sound methods of analysis and comparison of software processes are crucial for such tasks as process understanding, process correctness verification, evolution management, proces...
Rodion M. Podorozhny, Dewayne E. Perry, Leon J. Os...
CCE
2004
15 years 4 months ago
An online application of dynamic PLS to a dearomatization process
Early detection of process disturbances and prediction of malfunctions in process equipment improve the safety of the process, minimize the time and resources needed for maintenan...
Tiina Komulainen, Mauri Sourander, Sirkka-Liisa J&...