(Courriels de diversion: <contractualiserais@desorganisa-pratiquantes.com> <budgetaire@inconstitutionnalite-mordillees.com> <enseveliraient@assagie-dispersait.com> <aimants@soldee-necrologiques.com> <belligerante@emulee-montgolfieres.com> <deliberant@aviserai-emergeriez.com> <impartiaux@inacceptation-collera.com> <guerissable@recipiendaires-coopteras.com> <renouvellerai@sacraliser-denoncerez.com> <frequenterons@patrimoine-nordir.com> )
Bonjour,
Peut-être certains sur cette liste s'intéressent-ils à la reconnaissance
vocale ?
Dans ce cas, même si c'est actuellement pour l'anglais, il est surement
instructif d'essayer et de disséquer si affinité la dernière mouture
d'une référence libre du domaine : Sphinx.
Lancé par l'université Carnegie Mellon, ce projet est maintenant soutenu
par des constructeurs informatiques de premier plan.
Cordialement.
--
Phil
-----Message transféré-----
From: Peter Korn <peter.korn@Sun.COM>To: JA-PR@basso.sfbay.sun.comSubject: Sphinx-4 Alpha 0.1 - release of open source speech recognition software
Date: Fri, 04 Jun 2004 22:43:53 -0700
The Sun Accessibility team is delighted to pass along to you the following
announcement about open source software speech recognition from the Sphinx-4 team.
On behalf of Sun Microsystems (and the Sphinx-4 team)
Peter Korn
Sun Microsystems Accessibility team
access@sun.comhttp://www.sun.com/access
--------------------------------------------------------------------------
It is with great pleasure that we announce the Alpha 0.1 release of
Sphinx-4:
http://cmusphinx.sourceforge.net/sphinx4
Sphinx-4 is a state-of-the-art, speaker-independent, continuous speech
recognition system written entirely in the Java programming language.
It was created via a joint collaboration between the Sphinx group at
Carnegie Mellon University, Sun Microsystems Laboratories, Mitsubishi
Electric Research Labs (MERL), and Hewlett Packard (HP), with
contributions from the University of California at Santa Cruz (UCSC)
and the Massachusetts Institute of Technology (MIT).
The design of Sphinx-4 is based on patterns that have emerged from the
design of past systems as well as new requirements based on areas that
researchers currently want to explore. To exercise this framework,
and to provide researchers with a "research-ready" system, Sphinx-4
also includes several implementations of both simple and
state-of-the-art techniques. The framework and the implementations
are all freely available via open source under a very generous
BSD-style license.
With the Alpha 0.1 release, you get the complete Sphinx-4 source tree
along with several acoustic and language models capable of handling a
variety of tasks ranging from simple digit recognition to large
vocabulary n-Gram recognition.
Because it is written entirely in the Java programming language,
Sphinx-4 can run on a variety of platforms without requiring any
special compilation or changes. We've tested Sphinx-4 on the
following platforms with success: the Solaris 9 Operating System
on the SPARC platform, Mac OS X 10.3.3, RedHat 9.0, Fedora Core 1,
Microsoft Windows XP, and Microsoft Windows 2000.
Please give Sphinx-4 0.1 alpha a try and post your questions,
comments, and feedback to one of the CMU Sphinx Forums:
https://sourceforge.net/forum/?group_id=1904
We can also be reached at cmusphinx-contacts@lists.sourceforge.net.
Sincerely,
The Sphinx-4 Team: Evandro Gouvea, CMU (developer and speech advisor)
(in alph. order) Philip Kwok, Sun Labs (developer)
Paul Lamere, Sun Labs (design/technical lead)
Beth Logan, HP (speech advisor)
Pedro Moreno, Google (speech advisor)
Bhiksha Raj, MERL (design lead)
Mosur Ravishankar, CMU (speech advisor)
Bent Schmidt-Nielsen, MERL (speech advisor)
Rita Singh, CMU/MIT (design/speech advisor)
JM Van Thong, HP (speech advisor)
Willie Walker, Sun Labs (overall lead)
Manfred Warmuth, USCS (speech advisor)
Joe Woelfel, MERL (developer and speech advisor)
Peter Wolf, MERL (developer and speech advisor)