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ICASSP
2011
IEEE
14 years 10 months ago
Evaluation of objective measures for intelligibility prediction of HMM-based synthetic speech in noise
In this paper we evaluate four objective measures of speech with regards to intelligibility prediction of synthesized speech in diverse noisy situations. We evaluated three intell...
Cassia Valentini-Botinhao, Junichi Yamagishi, Simo...
VMV
2001
101views Visualization» more  VMV 2001»
15 years 7 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
TOOLS
2000
IEEE
15 years 10 months ago
Extending Business Objects with Business Rules
It is common to imbed business rules within the code of distributed object systems. When business practices and/or policies change, as they often do, it is difficult if not imposs...
Isabelle Rouvellou, Lou Degenaro, Kevin Rasmus, Da...
ICASSP
2010
IEEE
15 years 6 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen
CVPR
2011
IEEE
15 years 2 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman