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» Feature versus model based noise robustness
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ICIP
2006
IEEE
14 years 9 months ago
An Efficient Method for the Removal of Impulse Noise
A computationally efficient algorithm is proposed to remove noise impulses from speech and audio signals while retaining its features and tonal quality. The proposed method is bas...
Wenbin Luo, Dung Dang
PRL
2007
155views more  PRL 2007»
13 years 7 months ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang
JSAC
2006
104views more  JSAC 2006»
13 years 7 months ago
A mathematical model of noise in narrowband power line communication systems
This manuscript introduces a mathematically tractable and accurate model of narrowband power line noise based on experimental measurements. In this paper, the noise is expressed as...
Masaaki Katayama, Takaya Yamazato, Hiraku Okada
ICASSP
2011
IEEE
12 years 11 months ago
Robust speech representation of voiced sounds based on synchrony determination with PLLs
We propose to include synchrony effects, known to exist in the auditory system, to represent voiced parts of the speech signal in a robust way. The system decomposes the input sig...
Patricia A. Pelle, Claudio Estienne, Horacio Franc...
ECCV
2002
Springer
14 years 9 months ago
Phase-Based Local Features
Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a des...
Gustavo Carneiro, Allan D. Jepson