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ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...
ICASSP
2010
IEEE
13 years 7 months ago
Speech enhancement in transient noise environment using diffusion filtering
Recently, we have presented a transient noise reduction algorithm for speech signals that relies on non-local diffusion filtering. By exploiting the repetitive nature of transien...
Ronen Talmon, Israel Cohen, Sharon Gannot
TASLP
2010
118views more  TASLP 2010»
13 years 5 months ago
Time-Frequency Sparsity by Removing Perceptually Irrelevant Components Using a Simple Model of Simultaneous Masking
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
Péter Balázs, Bernhard Laback, Gerha...
ICMCS
2006
IEEE
98views Multimedia» more  ICMCS 2006»
14 years 28 days ago
On the Use of Time-Frequency Representation in Multicomponent Signal Separation
In this paper, we address the problem of separating unknown multicomponent signals from their instantaneous mixtures. Using linear time-frequency (TF) representation of the mixtur...
Braham Barkat, Farook Sattar, Karim Abed-Meraim
ICA
2007
Springer
14 years 1 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
Kostas Kokkinakis, Philipos C. Loizou