We show that estimation of parameters for the popular Gaussian model of speech in noise can be regularised in a Bayesian sense by use of simple prior distributions. For two example prior distributions, we show that the marginal distribution of the uncorrupted speech is non-Gaussian, but the parameter estimates themselves have tractable solutions. Speech recognition experiments serve to suggest ...

Environmental noise is known to cause noise annoyance. Since noise annoyance is a subjective indicator, other mediators-such as noise sensitivity-may influence its perception. However, few studies have thus far been conducted on noise annoyance in South Korea that consider noise sensitivity and noise level simultaneously. The aim of this study was to evaluate the correlations between noise sens...

We consider the problem of image denoising in the presence of noise whose statistical properties are a combination of two different distributions. We focus on noise distributions that are frequently considered in applications, in particular mixtures of salt & pepper and Gaussian noise, and Gaussian and Poisson noise. We derive a variational image denoising model that features a total variation ...

Most simulation-based noise maps are important for official noise assessment but lack local noise characteristics. The main reasons for this lack of information are that official noise simulations only provide information about expected noise levels, which is limited by the use of large-scale monitoring of noise sources, and are updated infrequently. With the emergence of smart cities and ubiqu...

The intensification of transport in the urban environment has generated an increase oflevel noise. Therefore, the EC has implemented an environmental policy for the reducing the noiselevel. Thus, the limit values acceptable for the noise levels in urban areas are 50 dB. To determine the noise level for these environments were designed and made various systems to measure level of noise, the majo...

This work proposes the use of an adaptive neighborhood procedure to extract local statistical properties of images in order to improve a speckle noise “Maximum a Posteriori ”(MAP) filtering performance. The strategy consists in growing the local statistically homogeneous area near the pixel in order to estimate its MAP filtering parameters. Measures evaluating both the signal-to-noise improveme...

Pakistan, like other developing countries, is facing the growing problem of traffic noise pollution of the modern world. It is a notable problem of urban areas of the country including Quetta city. The basic cause of this problem is the tremendous increase in traffic volume and lack of proper town planning. This study is the first proper attempt to evaluate the traffic noise level in Quetta cit...

Advances in active 3D range sensors have enabled the recording of depth maps at video frame rates. Unfortunately, the captured depth data is often noticeably contaminated with noise. We present a series of statistical analyses and denoising techniques to improve the raw output of depth sensors. Unifying our investigations is the concept that in the presence of high sensor noise, the ability to ...

According to European Directive 2002/49/CE, EU state members had to compile a strategic noise map no later than 30 June 2007 and a corresponding action plan no later than 18 July 2008 for all agglomerations with more than 250,000 inhabitants and for all major airports, roads and railways. A study on environmental noise was thus conducted for the city of Palma de Mallorca (Spain) using a commerc...

A method is presented that modifies a 2mFobs - DFmodel σA-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of shar...