PocketSphinx 0.6 release

We are pleased to announce the long-awaited PocketSphinx 0.6 release, including SphinxBase 0.6.  This release corresponds to SVN revision 9898.

PocketSphinx is a small-footprint continuous speech recognition system, freely licensed under a simplified BSD license, suitable for handheld and desktop applications.  It features:

  • Cross-platform: Linux, Windows, Mac OS X, iPhoneOS
  • Experimental support for Nokia S60v3 and Windows Mobile
  • Support for semi-continuous, phonetically-tied, and fully continuous acoustic models
  • Model footprint on disk of about 10MB per language
  • Memory footprint under 20MB for medium-vocabulary continuous recognition
  • Trigram language models and JSGF finite-state grammars
  • Acoustic models for English and Mandarin
  • Small language models for English and Mandarin (simplified and traditional characters)
  • Python language bindings
  • GStreamer multimedia framework integration

The release branch can be accessed via Subversion at http://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/branches/pocketsphinx-0.6 - this is the preferred way to access the release, particularly if you are using Windows.

This exact release tag can be accessed at http://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/tags/pocketsphinx-0.6

Source code archives are now available for download at http://sourceforge.net/projects/cmusphinx/

Debian/Ubuntu source packages are available from https://launchpad.net/~dhuggins/+archive/cmusphinx

Sphinx4-1.0 beta 4 released

Congratulations with the new release.

Get it here:

https://sourceforge.net/projects/cmusphinx/files/sphinx4/1.0%20beta4/

New Features and Improvements:

  • Large arbitrary-order language models
  • Simplified and reworked model loading code
  • Raw configuration and and demos
  • HTK model loader
  • Many code optimizations
  • JSAPI-independent JSGF parser
  • Noise filtering components
  • Lattice rescoring
  • Server-based language model

Bug fixes:

  • Lots of bug fixes: PLP extraction, race-conditions in scoring, etc.

Thanks:

Peter Wolf, Yaniv Kunda, Antoine Raux, Dirk Schnelle-Walka, Yannick Estève, Anthony Rousseau and LIUM team, Christophe Cerisara

CMU Sphinx Wiki is up

Official CMU Sphinx wiki is now located on sourceforge

https://cmusphinx.github.io/wiki

The information will be slowly tranferred there from other sources.

Join CMUSphinx group on LinkedIn

Are you doing your business with CMU Sphinx? Are you looking for developer experienced in CMU tools? Are you interested in professional ASR group or want to get recommendation. Join CMU Sphinx group on LinkedIn, connect to other professionals who are using Sphinx professionally.

http://www.linkedin.com/groups?home=&gid=2754506