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ICASSP
2008
IEEE
16 years 21 hour ago
Blind audiovisual separation based on redundant representations
In this work we present a method to perform a complete audiovisual source separation without need of previous information. This method is based on the assumption that sounds are c...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
ICASSP
2008
IEEE
16 years 21 hour ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
ICASSP
2008
IEEE
16 years 21 hour ago
Single-channel speech separation based on modulation frequency
This paper describes an algorithm that performs a simple form of computational auditory scene analysis to separate multiple speech signals from one another on the basis of the mod...
Lingyun Gu, Richard M. Stern
ICASSP
2008
IEEE
16 years 19 hour ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
ICC
2008
IEEE
176views Communications» more  ICC 2008»
16 years 19 hour ago
A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics
— Keystroke dynamics exhibit people’s behavioral features which are similar to hand signatures. A major problem hindering the large scale deployment of this technology is its h...
Jiankun Hu, Don Gingrich, Andy Sentosa