I'm happy to announce the next edition of FiXme: version 3.3
New in this release:
* Document incompatibility between marginal layout and the ACM SIG classes
* Honor twoside option in marginal layout
* Support KOMA-Script classes version 2006/07/30 v2.95b
* Documentation improvements
* Fix incompatibility with AMS-Art
* Fix bug in \fixme@footnotetrue
FiXme provides you with a way of inserting fixme notes in documents.
Such notes can appear in the margin of the document, as index entries,
in the log file and as warnings on stdout. It is also possible to
summarize them in a list, and in the index. When you switch from draft
to final mode, any remaining fixme note will be logged, but removed from
the document's body. Additionally, critical notes will abort compilation
with an informative message. FiXme also comes with support for AUC-TeX.
Grab it here:
http://www.lrde.epita.fr/~didier/software/latex.php#fixme
or wait until it propagates through CTAN...
--
Didier Verna, didier(a)lrde.epita.fr, http://www.lrde.epita.fr/~didier
EPITA / LRDE, 14-16 rue Voltaire Tel.+33 (0)1 44 08 01 85
94276 Le Kremlin-Bicêtre, France Fax.+33 (0)1 53 14 59 22 didier(a)xemacs.org
I'm happy to announce the next edition of CurVe, a Curriculum
Vitae class for LaTeX2e. New in this release: Polish localization, and
an option to reverse-count bibliographic entries.
Grab it directly from here:
http://www.lrde.epita.fr/~didier/software/latex.php#curve
or wait until it propagates through CTAN.
--
Didier Verna, didier(a)lrde.epita.fr, http://www.lrde.epita.fr/~didier
EPITA / LRDE, 14-16 rue Voltaire Tel.+33 (0)1 44 08 01 85
94276 Le Kremlin-Bicêtre, France Fax.+33 (0)1 53 14 59 22 didier(a)xemacs.org
I'm happy to announce the next edition of FiNK, the LaTeX2e File
Name Keeper, version 2.1.
This package looks over your shoulder and keeps track of files \input'ed
(the LaTeX way) or \include'ed in your document. You then have a
permanent access to the directory, name and extension of the file
currently being processed through several macros. FiNK also comes with
support for AUC-TeX.
This version fixes a bug preventing proper expansion in math mode.
--
Didier Verna, didier(a)lrde.epita.fr, http://www.lrde.epita.fr/~didier
EPITA / LRDE, 14-16 rue Voltaire Tel.+33 (1) 44 08 01 85
94276 Le Kremlin-Bicêtre, France Fax.+33 (1) 53 14 59 22 didier(a)xemacs.org
Bonjour,
nous avons le plaisir de vous présenter le n°11 du bulletin du LRDE.
C'est un numéro Spécial Rentrée qui présente les activités de recherche,
de développement et d'enseignement du LRDE ainsi que ses membres avec
l'arrivée d'un nouvel enseignant-chercheur.
Deux des membres de l'équipe font un gros plan sur une activité récente
: développement d’une plateforme de cartographie de systèmes
d’information dans le cadre d'une prestation d'un côté, et de l'autre,
un séjour sabbatique d’un mois au sein du groupe RECO du Centre de
Recherche en Informatique de Montréal (CRIM).
Vous trouverez dans ce numéro également une présentation de l'option
Calcul Scientifique et Image (CSI) à l'intérieur du cursus EPITA.
Vous pouvez télécharger le bulletin en couleur à la page suivante:
http://publis.lrde.epita.fr/200705-l-air-de-rien-11
--
Daniela Becker
We are pleased to announce that the following papers have been accepted
to The Speaker and Language Recognition Workshop (IEEE - Odyssey 2008 --
http://www.speakerodyssey.com).
** Reda Dehak, Najim Dehak, Patrick Kenny, Pierre Dumouchel. Kernel
Combination for SVM Speaker Verification.
http://publis.lrde.epita.fr/200709-ODYSSEY-A
We present a new approach for constructing the kernels used to build
support vector machines for speaker verification. The idea is to
construct new kernels by taking linear combination of many kernels such
as the GLDS and GMM supervector kernels. In this new kernel combination,
the combination weights are speaker dependent rather than universal
weights on score level fusion and there is no need for extra-data to
estimate them. An experiment on the NIST 2006 speaker recognition
evaluation dataset (all trial) was done using three different kernel
functions (GLDS kernel, linear and Gaussian GMM supervector kernels). We
compared our kernel combination to the optimal linear score fusion
obtained using logistic regression. This optimal score fusion was
trained on the same test data. We had an equal error rate of $\simeq
5,9\%$ using the kernel combination technique which is better than the
optimal score fusion system ($\simeq 6,0\%$).
** Reda Dehak, Najim Dehak, Patrick Kenny, Pierre Dumouchel. Comparison
Between Factor Analysis and GMM Support Vector Machines for Speaker
Verification.
http://publis.lrde.epita.fr/200709-ODYSSEY-B
We present a comparison between speaker verification systems based on
factor analysis modeling and support vector machines using GMM
supervectors as features. All systems used the same acoustic features
and they were trained and tested on the same data sets. We test two
types of kernel (one linear, the other non-linear) for the GMM support
vector machines. The results show that factor analysis using speaker
factors gives the best results on the core condition of the NIST 2006
speaker recognition evaluation. The difference is particularly marked on
the English language subset. Fusion of all systems gave an equal error
rate of 4.2% (all trials) and 3.2% (English trials only).
** Patrick Kenny, Najim Dehak, Reda Dehak, Vishwa Gupta, Pierre
Dumouchel. The Role of Speaker Factors in the NIST Extended Data Task.
http://publis.lrde.epita.fr/200709-ODYSSEY-C
We tested factor analysis models having various numbers of speaker
factors on the core condition and the extended data condition of the
2006 NIST speaker recognition evaluation. In order to ensure strict
disjointness between training and test sets, the factor analysis models
were trained without using any of the data made available for the 2005
evaluation. The factor analysis training set consisted primarily of
Switchboard data and so was to some degree mismatched with the 2006 test
data (drawn from the Mixer collection). Consequently, our initial
results were not as good as those submitted for the 2006 evaluation.
However we found that we could compensate for this by a simple
modification to our score normalization strategy, namely by using 1000
z-norm utterances in zt-norm.
Our purpose in varying the number of speaker factors was to evaluate the
eigenvoiceMAP and classicalMAP components of the inter-speaker
variability model in factor analysis. We found that on the core
condition (i.e. 2?3 minutes of enrollment data), only the eigenvoice MAP
component plays a useful role. On the other hand, on the extended data
condition (i.e. 15?20 minutes of enrollment data) both the classical MAP
component and the eigenvoice component proved to be useful provided that
the number of speaker factors was limited. Our best result on the
extended data condition (all trials) was an equal error rate of 2.2% and
a detection cost of 0.011.
--
Daniela Becker
Le fonds unique interministériel doté de 720 M? sur la période 2006-2008 est
logé au sein du fonds de compétitivité des entreprises (FCE).
Les projets présentés doivent être des projets de recherche et développement
collaboratifs, labellisés par un pôle de compétitivité, impliquant
plusieurs entreprises et au moins un laboratoire ou centre de recherche.
Les dossiers devront être remis avant le 30 novembre 2007 (12h).
http://www.competitivite.gouv.fr/spip.php?article217
je vous rappelle qu'il y a maintenant un pôle libre dans
Systém@tic.
Olivier.
Hello,
I am pleased to announce the next edition of Patcher (version 3.9).
Patcher is an XEmacs package for automating the maintenance of projects
based on version control systems such as CVS. Patcher is the official
tool for XEmacs development.
New in this release:
- Support for Darcs (diff output filtering)
- The :change-logs-user-[name|mail] project options now inherit from the
:user-[name|mail] ones
--
Didier Verna <didier(a)lrde.org>
Hello,
I'm happy to announce that I will be a program committee member for the
next European Lisp Symposium (ELS'08) which is going to take place in
Istanbul, Turkey, in April. More information will be available at a later
time.
--
Didier Verna <didier(a)lrde.org>
The next edition of CurVe, a curriculum vitae class for LaTeX2e has been
released. This is version 1.13 of the package.
What's new in this version:
===========================
** Support for title alignment
suggested by Lars Kasper
** Support for footnotes
suggested by Alain Coletta
** Let rubrics honor the current \linewidth
so that they can be used inside minipage environments for instance
** Changed default value of \subrubricbeforespace
to 20pt
** Fix some overfull boxes
reported by Nico Schlömer
** FAQ and documentation update
Description:
============
CurVe is a class package that hopefully will make your life easier when you
want to write your CV. It provides you with a set of commands to create
rubrics, entries in these rubrics etc. CurVe will then properly format your CV
for you (possibly splitting it onto multiple pages, repeating the titles etc),
which is usually the most painful part of CV writing. Another nice feature of
CurVe is its ability to manage different CV "flavors" simultaneously. It is in
fact often the case that you want to maintain slightly divergent versions of
your CV at the same time, in order to emphasize on different aspects of your
background. CurVe also comes with support for AUC-TeX.
--
Didier Verna, didier(a)lrde.epita.fr, http://www.lrde.epita.fr/~didier
EPITA / LRDE, 14-16 rue Voltaire Tel.+33 (1) 44 08 01 85
94276 Le Kremlin-Bicêtre, France Fax.+33 (1) 53 14 59 22 didier(a)xemacs.org
I'm happy to announce the next edition f FiNK, the LaTeX2e FIle Name Keeper.
--
Didier Verna, didier(a)lrde.epita.fr, http://www.lrde.epita.fr/~didier
EPITA / LRDE, 14-16 rue Voltaire Tel.+33 (1) 44 08 01 85
94276 Le Kremlin-Bicêtre, France Fax.+33 (1) 53 14 59 22 didier(a)xemacs.org
