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ICCV
2011
IEEE
12 years 12 months ago
Dense Disparity Maps from Sparse Disparity Measurements
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
JOCN
2011
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13 years 2 months ago
Perception of Speech in Noise: Neural Correlates
■ The presence of irrelevant auditory information (other talkers, environmental noises) presents a major challenge to listening to speech. The fundamental frequency (F0) of the ...
Judy H. Song, Erika Skoe, Karen Banai, Nina Kraus
ICASSP
2011
IEEE
13 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
SPEECH
2011
13 years 6 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
COLING
2002
13 years 11 months ago
Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretation
We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument structure. This is achieved through the...
Ingrid Zukerman, Sarah George
ICASSP
2008
IEEE
14 years 6 months ago
Robust speaker identification using auditory features and computational auditory scene analysis
The performance of speaker recognition systems drop significantly under noisy conditions. To improve robustness, we have recently proposed novel auditory features and a robust spe...
Yang Shao, DeLiang Wang