Publication

On Application Of Non-Negative Matrix Factorization for Ad Hoc Microphone Array Calibration from Incomplete Noisy Distances

Publications associées (34)

Accounting for Observational Uncertainty in Forecast Verification: An Information-Theoretical View on Forecasts, Observations, and Truth

Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

Recently, an information-theoretical decomposition of Kullback–Leibler divergence into uncertainty, reliability, and resolution was introduced. In this article, this decomposition is generalized to the case where the observation is uncertain. Along with a ...
2011

Strategies for Delay-Limited Source-Channel Coding

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In point-to-point source-channel communication with a fidelity criterion and a transmission cost constraint, the region of achievable cost and fidelity pairs is completely characterized by Shannon's separation theorem. However, this is in general only true ...
EPFL2010

Performance Analysis of Reconstruction Techniques for Frequency-Domain Optical-Coherence Tomography

Michaël Unser, Chandra Sekhar Seelamantula

We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography (FDOCT). We consider three reconstruction techniques: Fourier, iterative phase recovery, and cepstral techniques. We characterize the re ...
Institute of Electrical and Electronics Engineers2010

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Bertrand Mesot

Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models (HMMs), with a p ...
EPFL2008

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Bertrand Mesot

Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models (HMMs), with a p ...
Ecole Polytechnique Fédérale de Lausanne2008

Inference in Switching Linear Dynamical Systems Applied to Noise Robust Speech Recognition of Isolated Digits

Bertrand Mesot

Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models~(HMMs), with a p ...
IDIAP Research Institute2008

SURE-LET Interscale-Intercolor Wavelet Thresholding for Color Image Denoising

Thierry Blu, Florian Luisier

We propose a new orthonormal wavelet thresholding algorithm for denoising color images that are assumed to be corrupted by additive Gaussian white noise of known intercolor covariance matrix. The proposed wavelet denoiser consists of a linear expansion of ...
SPIE2007

Nonlinear low noise particle-in-cell simulations of electron temperature gradient driven turbulence

Laurent Villard, Trach-Minh Tran, Alberto Bottino, Sébastien Jolliet, Ben McMillan

In this Letter, it is shown that global, nonlinear, particle-in-cell (PIC) simulations of electron temperature driven turbulence recover the same level of transport as flux-tube codes when the level of statistical noise, associated with the PIC discretizat ...
American Institute of Physics2007

Robust Speech Recognition with Small Microphone Arrays using the Missing Data Approach

Hervé Bourlard

Traditional microphone array speech recognition systems simply recognise the enhanced output of the array. As the level of signal enhancement depends on the number of microphones, such systems do not achieve acceptable speech recognition performance for ar ...
IDIAP2002

Robust Speech Recognition with Small Microphone Arrays using the Missing Data Approach

Hervé Bourlard

Traditional microphone array speech recognition systems simply recognise the enhanced output of the array. As the level of signal enhancement depends on the number of microphones, such systems do not achieve acceptable speech recognition performance for ar ...
2002

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