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There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises.
It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction.
The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.
This template can be used to write theses at Massey University. More info about this template please refer to https://www.io.ac.nz
Licensed under CC-BY-SA-4.0
This document is a template for typesetting a paper in a BeLLS volume. It has guidelines and provides examples of various text elements, showing how to produce them. The paper should preferably be delivered in PDF, without page numbers. The editors will collate all contributions and apply page numbering in the footer throughout the volume.
Ukázkový text a dokumentace stylu pro text závěrečné (bakalářské a
diplomové) práce na KI PřF UP v Olomouci
Copyright (C) 2012 Martin Rotter, <rotter.martinos@gmail.com>
Copyright (C) 2014 Jan Outrata, <jan.outrata@upol.cz>
Imperial College London provides a set of Competition Poster Templates with official colour-scheme and branding guidelines.
Here we provide LaTeX versions of these templates, which use the beamer poster theme created for Imperial College by Lian Tze Lim (Overleaf).
To start working on your poster, simply click the 'Open as Template' button above. You'll be able to set up your template to use any of the four official Imperial College London poster colour-schemes:
Black
Dark Blue
Light Blue
White
The template also provides the option to toggle between different sizes (e.g. A0, A1) and different orientations (portrait, landscape) as required.
The example poster shown on the right uses the White colour-scheme, and is set to be A0, portrait by default.
YAAC: Another Awesome CV is a template that use FontAwesome and Source Sans Pro Font. It also use the Lualatex engine.
This template also use elements from AltaCV like cv tags and cv skills.
Changelog:
Version 1.9.2: New project section
Version 1.9: Add monochrome option, add showLinksoption
Version 1.8: Add macros to handle referees and keywords
Version 1.7: Renaming and minor changes
Version 1.6.2: Add fonction to put two columns on a section.
Version 1.6: Use Lualatex as default engine.
Version 1.5: New alternative option to change the way the header is generated (\documentclass[localFont,alternative]{awesome-source-cv})
More infos:
Full source and documentation can be downloaded on
Github
MUW Poster
LaTeX Template
Version 1.0 (31/08/2016)
(Based on Version 1.0 (31/08/2015) of the Jacobs Portrait Poster
License:
CC BY-NC-SA 4.0
Created by:
Nicolas Ballarini, CeMSIIS, Medical University of Vienna
nicoballarini@gmail.com
http://statistics.msi.meduniwien.ac.at/
With Overleaf, edit online instantly this presentation (Internal talk at CU-Boulder) and download a PDF version.
This project is also available on my web site