Concept

Gaussian noise

Related publications (190)

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Nonlinear Spectral Transformations for Robust Speech Recognition

Hervé Bourlard, Hynek Hermansky, Shajith Ikbal

Recently, a nonlinear transformation of autocorrelation coefficients named Phase AutoCorrelation (PAC) coefficients has been considered for feature extraction \cite{ikbal03}. PAC based features show improved robustness to additive noise as a result of two ...

IDIAP2003

Nonlinear Spectral Transformations for Robust Speech Recognition

Hervé Bourlard, Hynek Hermansky, Shajith Ikbal

2003

Noise Reduction by Fuzzy Image Filtering

Dimitri Nestor Alice Van De Ville

A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to ...

IEEE2003

Low Noise CMOS Micro-Fluxgate Magnetometer

Radivoje Popovic, Pavel Kejik, Franck Vincent, Predrag Drljaca

We present a new two-axis fluxgate magnetometer fully integrated in CMOS technology. The magnetometer exhibits excellent sensitivity of 2700 V/T and the magnetic equivalent noise spectral density of 6nT/√Hz at 1 Hz. The total power consumption is as low as ...

2003

HMM mixtures (HMM2) for robust speech recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

EPFL2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

Ecole Polytechnique Federale de Lausanne2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

IDIAP2003

Toward perceptual metrics for video watermark evaluation.

Touradj Ebrahimi, Elisa Drelie Gelasca

Assessing and comparing the performance of watermarking algorithms is di cult.The visibility of the watermark is an important aspect in this process.In this paper,we propose two metrics for evaluating the visual impact of video watermarks.Based on several ...

SPIE2003

Wavelets Versus Resels in the Context of fMRI: Establishing the Link with SPM

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

Statistical Parametric Mapping (SPM) is a widely deployed tool for detecting and analyzing brain activity from fMRI data. One of SPM's main features is smoothing the data by a Gaussian filter to increase the SNR. The subsequent statistical inference is bas ...

SPIE2003

2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs

Volkan Cevher

In this paper, the performance of a subspace beamformer, namely the multiple signal classification algorithm (MUSIC), is scrutinized in the presence of sensor position errors. Based on a perturbation model, a relationship between the array autocorrelation ...

2002