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» Improving Mention Detection Robustness to Noisy Input
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116
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ICASSP
2011
IEEE
14 years 3 months ago
Robust speaker identification using a CASA front-end
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
Xiaojia Zhao, Yang Shao, DeLiang Wang
93
Voted
INTERSPEECH
2010
14 years 6 months ago
VAD-measure-embedded decoder with online model adaptation
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...
Tasuku Oonishi, Koji Iwano, Sadaoki Furui
BMCBI
2006
144views more  BMCBI 2006»
14 years 11 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
111
Voted
CVPR
2009
IEEE
16 years 6 months ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
110
Voted
AIPS
2011
14 years 3 months ago
Planning to Perceive: Exploiting Mobility for Robust Object Detection
Consider the task of a mobile robot autonomously navigating through an environment while detecting and mapping objects of interest using a noisy object detector. The robot must re...
Javier Vélez, Garrett Hemann, Albert S. Hua...