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» A Recurrent Neural Filter for Adaptive Noise Cancellation
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NIPS
2001
13 years 10 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ESANN
2000
13 years 10 months ago
Local input-output stability of recurrent networks with time-varying weights
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
Jochen J. Steil
TASLP
2008
175views more  TASLP 2008»
13 years 8 months ago
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation
Abstract--The adaptive algorithms used for acoustic echo cancellation (AEC) have to provide 1) high convergence rates and good tracking capabilities, since the acoustic environment...
Constantin Paleologu, Jacob Benesty, Silviu Ciochi...
FUZZIEEE
2007
IEEE
14 years 2 months ago
Improved Adaptive Impulsive Noise Suppression
In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...
Pankaj Kumar Sa, Banshidhar Majhi, Ganapati Panda
ICASSP
2011
IEEE
13 years 8 days ago
Hybrid probabilistic adaptation mode controller for generalized sidelobe canceller-based target-directional speech enhancement
In this paper, we propose a new adaptation mode controller (AMC) for a generalized sidelobe canceller (GSC) having prior knowledge of the direction-of-arrival (DOA) of a desired s...
Seon Man Kim, Hong Kook Kim